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JamesStewart,DanielKClegg,SaleemWatson-In 220321 124825

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1
FUNCTIONS AND MODELS
1.1 Four Ways to Represent a Function
1. The functions  () =  +
√
√
2 −  and () =  + 2 −  give exactly the same output values for every input value, so 
and  are equal.
2.  () =
( − 1)
2 − 
=
=  for  − 1 6= 0, so  and  [where () = ] are not equal because  (1) is undefined and
−1
−1
(1) = 1.
3. (a) The point (−2 2) lies on the graph of , so (−2) = 2. Similarly,  (0) = −2,  (2) = 1, and  (3)  25.
(b) Only the point (−4 3) on the graph has a ­value of 3, so the only value of  for which () = 3 is −4.
(c) The function outputs () are never greater than 3, so () ≤ 3 for the entire domain of the function. Thus, () ≤ 3 for
−4 ≤  ≤ 4 (or, equivalently, on the interval [−4 4]).
(d) The domain consists of all ­values on the graph of : { | −4 ≤  ≤ 4} = [−4 4]. The range of  consists of all the
­values on the graph of : { | −2 ≤  ≤ 3} = [−2 3].
(e) For any 1  2 in the interval [0 2], we have (1 )  (2 ). [The graph rises from (0 −2) to (2 1).] Thus, () is
increasing on [0 2].
4. (a) From the graph, we have  (−4) = −2 and (3) = 4.
(b) Since  (−3) = −1 and (−3) = 2, or by observing that the graph of  is above the graph of  at  = −3, (−3) is larger
than  (−3).
(c) The graphs of  and  intersect at  = −2 and  = 2, so  () = () at these two values of .
(d) The graph of  lies below or on the graph of  for −4 ≤  ≤ −2 and for 2 ≤  ≤ 3. Thus, the intervals on which
 () ≤ () are [−4 −2] and [2 3].
(e)  () = −1 is equivalent to  = −1, and the points on the graph of  with ­values of −1 are (−3 −1) and (4 −1), so
the solution of the equation  () = −1 is  = −3 or  = 4.
(f) For any 1  2 in the interval [−4 0], we have (1 )  (2 ). Thus, () is decreasing on [−4 0].
(g) The domain of  is { | −4 ≤  ≤ 4} = [−4 4]. The range of  is { | −2 ≤  ≤ 3} = [−2 3].
(h) The domain of  is { | −4 ≤  ≤ 3} = [−4 3]. Estimating the lowest point of the graph of  as having coordinates
(0 05), the range of  is approximately { | 05 ≤  ≤ 4} = [05 4].
5. From Figure 1 in the text, the lowest point occurs at about ( ) = (12 −85). The highest point occurs at about (17 115).
Thus, the range of the vertical ground acceleration is −85 ≤  ≤ 115. Written in interval notation, the range is [−85 115].
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10
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CHAPTER 1
FUNCTIONS AND MODELS
6. Example 1: A car is driven at 60 mih for 2 hours. The distance 
traveled by the car is a function of the time . The domain of the
function is { | 0 ≤  ≤ 2}, where  is measured in hours. The range
of the function is { | 0 ≤  ≤ 120}, where  is measured in miles.
Example 2: At a certain university, the number of students  on
campus at any time on a particular day is a function of the time  after
midnight. The domain of the function is { | 0 ≤  ≤ 24}, where  is
measured in hours. The range of the function is { | 0 ≤  ≤ },
where  is an integer and  is the largest number of students on
campus at once.
Example 3: A certain employee is paid $800 per hour and works a
pay
maximum of 30 hours per week. The number of hours worked is
240
238
236
rounded down to the nearest quarter of an hour. This employee’s
gross weekly pay  is a function of the number of hours worked .
The domain of the function is [0 30] and the range of the function is
4
2
{0 200 400     23800 24000}.
0
7. We solve 3 − 5 = 7 for : 3 − 5 = 7
0.25 0.50 0.75
29.50 29.75 30
hours
⇔ −5 = −3 + 7 ⇔  = 35  − 75 . Since the equation determines exactly
one value of  for each value of , the equation defines  as a function of .
8. We solve 32 − 2 = 5 for : 32 − 2 = 5
⇔ −2 = −32 + 5 ⇔  = 32 2 − 52 . Since the equation determines
exactly one value of  for each value of , the equation defines  as a function of .
9. We solve 2 + ( − 3)2 = 5 for :
2 + ( − 3)2 = 5 ⇔ ( − 3)2 = 5 − 2
√
⇔  − 3 = ± 5 − 2
⇔
√
 = 3 ± 5 − 2 . Some input values  correspond to more than one output . (For instance,  = 1 corresponds to  = 1 and
to  = 5.) Thus, the equation does not define  as a function of .
10. We solve 2 + 5 2 = 4 for :
=
−2 ±
2 + 5 2 = 4 ⇔ 5 2 + (2)  − 4 = 0 ⇔

(2)2 − 4(5)(−4)
2(5)
=
−2 ±
√
√
− ± 2 + 20
42 + 80
=
(using the quadratic formula). Some input
10
5
values  correspond to more than one output . (For instance,  = 4 corresponds to  = −2 and to  = 25.) Thus, the
equation does not define  as a function of .
11. We solve ( + 3)3 + 1 = 2 for :
 = −3 +
( + 3)3 + 1 = 2 ⇔ ( + 3)3 = 2 − 1 ⇔  + 3 =
√
3
2 − 1 ⇔
√
3
2 − 1. Since the equation determines exactly one value of  for each value of , the equation defines  as a
function of .
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°
SECTION 1.1
12. We solve 2 − || = 0 for :
FOUR WAYS TO REPRESENT A FUNCTION
¤
11
2 − || = 0 ⇔ || = 2 ⇔  = ±2. Some input values  correspond to more than
one output . (For instance,  = 1 corresponds to  = −2 and to  = 2.) Thus, the equation does not define  as a function
of .
13. The height 60 in ( = 60) corresponds to shoe sizes 7 and 8 ( = 7 and  = 8). Since an input value  corresponds to more
than output value , the table does not define  as a function of .
14. Each year  corresponds to exactly one tuition cost . Thus, the table defines  as a function of .
15. No, the curve is not the graph of a function because a vertical line intersects the curve more than once. Hence, the curve fails
the Vertical Line Test.
16. Yes, the curve is the graph of a function because it passes the Vertical Line Test. The domain is [−2 2] and the range
is [−1 2].
17. Yes, the curve is the graph of a function because it passes the Vertical Line Test. The domain is [−3 2] and the range
is [−3 −2) ∪ [−1 3].
18. No, the curve is not the graph of a function since for  = 0, ±1, and ±2, there are infinitely many points on the curve.
19. (a) When  = 1950,  ≈ 138◦ C, so the global average temperature in 1950 was about 138◦ C.
(b) When  = 142◦ C,  ≈ 1990.
(c) The global average temperature was smallest in 1910 (the year corresponding to the lowest point on the graph) and largest
in 2000 (the year corresponding to the highest point on the graph).
(d) When  = 1910,  ≈ 135◦ C, and when  = 2000,  ≈ 144◦ C. Thus, the range of  is about [135, 144].
20. (a) The ring width varies from near 0 mm to about 16 mm, so the range of the ring width function is approximately [0 16].
(b) According to the graph, the earth gradually cooled from 1550 to 1700, warmed into the late 1700s, cooled again into the
late 1800s, and has been steadily warming since then. In the mid­19th century, there was variation that could have been
associated with volcanic eruptions.
21. The water will cool down almost to freezing as the ice melts. Then, when
the ice has melted, the water will slowly warm up to room temperature.
22. The temperature of the pie would increase rapidly, level off to oven
temperature, decrease rapidly, and then level off to room temperature.
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CHAPTER 1
FUNCTIONS AND MODELS
23. (a) The power consumption at 6 AM is 500 MW which is obtained by reading the value of power  when  = 6 from the
graph. At 6 PM we read the value of  when  = 18 obtaining approximately 730 MW
(b) The minimum power consumption is determined by finding the time for the lowest point on the graph,  = 4 or 4 AM. The
maximum power consumption corresponds to the highest point on the graph, which occurs just before  = 12 or right
before noon. These times are reasonable, considering the power consumption schedules of most individuals and
businesses.
24. Runner A won the race, reaching the finish line at 100 meters in about 15 seconds, followed by runner B with a time of about
19 seconds, and then by runner C who finished in around 23 seconds. B initially led the race, followed by C, and then A.
C then passed B to lead for a while. Then A passed first B, and then passed C to take the lead and finish first. Finally,
B passed C to finish in second place. All three runners completed the race.
25. Of course, this graph depends strongly on the
geographical location!
26. The summer solstice (the longest day of the year) is
around June 21, and the winter solstice (the shortest day)
is around December 22. (Exchange the dates for the
southern hemisphere.)
27. As the price increases, the amount sold decreases.
28. The value of the car decreases fairly rapidly initially, then
somewhat less rapidly.
29.
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°
SECTION 1.1
30. (a)
(b)
(c)
(d)
31. (a)
FOUR WAYS TO REPRESENT A FUNCTION
¤
13
(b) 9:00 AM corresponds to  = 9. When  = 9, the
temperature  is about 74◦ F.
32. (a)
(b) The blood alcohol concentration rises rapidly, then slowly
decreases to near zero.
33.  () = 32 −  + 2.
 (2) = 3(2)2 − 2 + 2 = 12 − 2 + 2 = 12.
 (−2) = 3(−2)2 − (−2) + 2 = 12 + 2 + 2 = 16.
 () = 32 −  + 2.
 (−) = 3(−)2 − (−) + 2 = 32 +  + 2.
 ( + 1) = 3( + 1)2 − ( + 1) + 2 = 3(2 + 2 + 1) −  − 1 + 2 = 32 + 6 + 3 −  + 1 = 32 + 5 + 4.
2 () = 2 ·  () = 2(32 −  + 2) = 62 − 2 + 4.
 (2) = 3(2)2 − (2) + 2 = 3(42 ) − 2 + 2 = 122 − 2 + 2.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
[continued]
14
¤
CHAPTER 1
FUNCTIONS AND MODELS
 (2 ) = 3(2 )2 − (2 ) + 2 = 3(4 ) − 2 + 2 = 34 − 2 + 2.

2 


[ ()]2 = 32 −  + 2 = 32 −  + 2 32 −  + 2
= 94 − 33 + 62 − 33 + 2 − 2 + 62 − 2 + 4 = 94 − 63 + 132 − 4 + 4
 ( + ) = 3( + )2 − ( + ) + 2 = 3(2 + 2 + 2 ) −  −  + 2 = 32 + 6 + 32 −  −  + 2.

.
+1
34.  () = √
0
= 0.
(0) = √
0+1
3
3
 (3) = √
= .
2
3+1
5

= √
.
5() = 5 · √
+1
+1
2
1
1
1
4
= √
.
(4) = · (4) = · √
2
2
2
4 + 1
4 + 1
2

2
2

2
2
.
=
; [()] = √
( ) = √
+1
+1
2 + 1
( + )
+
.
( + ) = 
= √
++1
( + ) + 1
( − )
−
( − ) = 
.
= √
−+1
( − ) + 1
35.  () = 4 + 3 − 2 , so  (3 + ) = 4 + 3(3 + ) − (3 + )2 = 4 + 9 + 3 − (9 + 6 + 2 ) = 4 − 3 − 2 ,
and
(4 − 3 − 2 ) − 4
(−3 − )
 (3 + ) −  (3)
=
=
= −3 − .



36.  () = 3 , so  ( + ) = ( + )3 = 3 + 32  + 32 + 3 ,
and
(3 + 32  + 32 + 3 ) − 3
(32 + 3 + 2 )
 ( + ) −  ()
=
=
= 32 + 3 + 2 .



1
1
−
−
 () −  ()
−1( − )
−
1
1


=
=  =
=
=− .
37.  () = , so

−
−
−
( − )
( − )

√
() − (1)
=
38.  () =  + 2, so
−1
√
√
+2− 3
. Depending upon the context, this may be considered simplified.
−1
Note: We may also rationalize the numerator:
√
√ √
√
√
√
( + 2) − 3
+2− 3
+2− 3
+2+ 3
√ =
√ 
=
·√
√
−1
−1
+2+ 3
( − 1)  − 2 + 3
=
−1
1
√  = √
√
√
( − 1)  − 2 + 3
+2+ 3
39.  () = ( + 4)(2 − 9) is defined for all  except when 0 = 2 − 9
⇔ 0 = ( + 3)( − 3) ⇔  = −3 or 3, so the
domain is { ∈  |  6= −3 3} = (−∞ −3) ∪ (−3 3) ∪ (3 ∞).
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 1.1
40. The function  () =
2
FOUR WAYS TO REPRESENT A FUNCTION
¤
15
2 + 1
is defined for all values of  except those for which 2 + 4 − 21 = 0 ⇔
+ 4 − 21
( + 7)( − 3) = 0 ⇔  = −7 or  = 3. Thus, the domain is { ∈  |  6= −7 3} = (−∞ −7) ∪ (−7 3) ∪ (3 ∞).

√
3
2 − 1 is defined for all real numbers. In fact 3 (), where () is a polynomial, is defined for all real numbers.
41.  () =
Thus, the domain is  or (−∞ ∞).
42. () =
√
√
3 −  − 2 +  is defined when 3 −  ≥ 0
⇔
 ≤ 3 and 2 +  ≥ 0
⇔
( − 5)  0. Note that 2 − 5 6= 0 since that would result in
⇔
 ≥ −2. Thus, the domain is
−2 ≤  ≤ 3, or [−2 3].
43. () = 1
√
4
2 − 5 is defined when 2 − 5  0
division by zero. The expression ( − 5) is positive if   0 or   5. (See Appendix A for methods for solving
inequalities.) Thus, the domain is (−∞ 0) ∪ (5 ∞).
44.  () =
1
1
+1
6= 0. Since 1 +
=0 ⇔
is defined when  + 1 6= 0 [ 6= −1] and 1 +
1
+1
+1
1+
+1
1
= −1 ⇔ 1 = − − 1 ⇔  = −2, the domain is { |  6= −2,  6= −1} = (−∞ −2) ∪ (−2 −1) ∪ (−1 ∞).
+1
45.  () =

√
√
√
√
√
2 −  is defined when  ≥ 0 and 2 −  ≥ 0. Since 2 −  ≥ 0 ⇔ 2 ≥  ⇔
≤2 ⇔
0 ≤  ≤ 4, the domain is [0 4].
46. The function () =
√
2 − 4 − 5 is defined when 2 − 4 − 5 ≥ 0 ⇔ ( + 1)( − 5) ≥ 0. The polynomial
() = 2 − 4 − 5 may change signs only at its zeros, so we test values of  on the intervals separated by  = −1 and
 = 5: (−2) = 7  0, (0) = −5  0, and (6) = 7  0. Thus, the domain of , equivalent to the solution intervals
of () ≥ 0, is { |  ≤ −1 or  ≥ 5} = (−∞ −1] ∪ [5 ∞).
47. () =
√
√
4 − 2 . Now  = 4 − 2
⇒  2 = 4 − 2
⇔ 2 +  2 = 4, so
the graph is the top half of a circle of radius 2 with center at the origin. The domain

 

is  | 4 − 2 ≥ 0 =  | 4 ≥ 2 = { | 2 ≥ ||} = [−2 2]. From the graph,
the range is 0 ≤  ≤ 2, or [0 2].
48. The function  () =
2 − 4
is defined when  − 2 6= 0 ⇔  6= 2, so the
−2
domain is { |  6= 2} = (−∞ 2) ∪ (2 ∞). On its domain,
 () =
2 − 4
( − 2)( + 2)
=
=  + 2. Thus, the graph of  is the
−2
−2
line  =  + 2 with a hole at (2 4).
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°
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CHAPTER 1
49.  () =

FUNCTIONS AND MODELS
2 + 2
if   0

if  ≥ 0
 (−3) = (−3) + 2 = 11,  (0) = 0, and  (2) = 2.
2
50.  () =

if   2
5
1

2
−3
if  ≥ 2
 (−3) = 5,  (0) = 5, and  (2) = 12 (2) − 3 = −2.
51.  () =

+1
if  ≤ −1
if   −1
2

 (−3) = −3 + 1 = −2,  (0) = 02 = 0, and  (2) = 22 = 4.
52.  () =

if  ≤ 1
−1
7 − 2
if   1
 (−3) = −1,  (0) = −1, and  (2) = 7 − 2(2) = 3.
53. || =


−
if  ≥ 0
if   0
so () =  + || =

2
0
if  ≥ 0
if   0
Graph the line  = 2 for  ≥ 0 and graph  = 0 (the ­axis) for   0
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°
SECTION 1.1
54. () = | + 2| =
=
55. () = |1 − 3| =
=
56.  () =




FOUR WAYS TO REPRESENT A FUNCTION
if  + 2 ≥ 0
+2
if  + 2  0
−( + 2)
if  ≥ −2
+2
if   −2
− − 2
if 1 − 3 ≥ 0
1 − 3
−(1 − 3)
if 1 − 3  0
if  ≤
1 − 3
if  
3 − 1
1
3
1
3
||

The domain of  is { |  6= 0} and || =  if   0, || = − if   0.
So we can write
57. To graph  () =


−


= −1

 () =


 =1

||
1
if || ≤ 1
if ||  1
if   0
if   0
, graph  = || [Figure 16]
for −1 ≤  ≤ 1 and graph  = 1 for   1 and for   −1.
We could rewrite f as () =




58. () = || − 1 =
=
=



1




 −






1
|| − 1
−(|| − 1)
|| − 1
− || + 1

−1




 − − 1

− + 1




−(−) + 1
if   −1
if −1 ≤   0
if 0 ≤  ≤ 1
.
if   1
if || − 1 ≥ 0
if || − 1  0
if || ≥ 1
if ||  1
if || ≥ 1 and  ≥ 0
if || ≥ 1 and   0
if ||  1 and  ≥ 0
if ||  1 and   0
=

−1




 − − 1

− + 1




+1
if  ≥ 1
if  ≤ −1
if 0 ≤   1
if −1    0
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°
¤
17
18
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CHAPTER 1
FUNCTIONS AND MODELS
59. Recall that the slope  of a line between the two points (1  1 ) and (2  2 ) is  =
2 − 1
and an equation of the line
2 − 1
connecting those two points is  − 1 = ( − 1 ). The slope of the line segment joining the points (1 −3) and (5 7) is
5
7 − (−3)
= , so an equation is  − (−3) = 52 ( − 1). The function is  () = 52  −
5−1
2
60. The slope of the line segment joining the points (−5 10) and (7 −10) is
11
,
2
1 ≤  ≤ 5.
5
−10 − 10
= − , so an equation is
7 − (−5)
3
 − 10 = − 53 [ − (−5)]. The function is  () = − 53  + 53 , −5 ≤  ≤ 7.
61. We need to solve the given equation for .
√
 + ( − 1)2 = 0 ⇔ ( − 1)2 = − ⇔  − 1 = ± − ⇔
√
−. The expression with the positive radical represents the top half of the parabola, and the one with the negative
√
radical represents the bottom half. Hence, we want  () = 1 − −. Note that the domain is  ≤ 0.
 =1±
√
⇔ ( − 2)2 = 4 − 2 ⇔  − 2 = ± 4 − 2
√
the function  () = 2 + 4 − 2 , −2 ≤  ≤ 2.
62. 2 + ( − 2)2 = 4
⇔  =2±
√
4 − 2 . The top half is given by
63. For 0 ≤  ≤ 3, the graph is the line with slope −1 and ­intercept 3, that is,  = − + 3. For 3   ≤ 5, the graph is the line
with slope 2 passing through (3 0); that is,  − 0 = 2( − 3), or  = 2 − 6. So the function is

− + 3 if 0 ≤  ≤ 3
 () =
2 − 6 if 3   ≤ 5
64. For −4 ≤  ≤ −2, the graph is the line with slope − 32 passing through (−2 0); that is,  − 0 = − 32 [ − (−2)], or
 = − 32  − 3. For −2    2, the graph is the top half of the circle with center (0 0) and radius 2. An equation of the circle
is 2 +  2 = 4, so an equation of the top half is  =
√
4 − 2 . For 2 ≤  ≤ 4, the graph is the line with slope
3
2
passing
through (2 0); that is,  − 0 = 32 ( − 2), or  = 32  − 3. So the function is
 3
−  − 3 if −4 ≤  ≤ −2


√ 2
 () =
4 − 2 if −2    2


3
−3
if 2 ≤  ≤ 4
2
65. Let the length and width of the rectangle be  and  . Then the perimeter is 2 + 2 = 20 and the area is  =  .
Solving the first equation for  in terms of  gives  =
20 − 2
= 10 − . Thus, () = (10 − ) = 10 − 2 . Since
2
lengths are positive, the domain of  is 0    10. If we further restrict  to be larger than  , then 5    10 would be
the domain.
66. Let the length and width of the rectangle be  and  . Then the area is  = 16, so that  = 16. The perimeter is
 = 2 + 2 , so  () = 2 + 2(16) = 2 + 32, and the domain of  is   0, since lengths must be positive
quantities. If we further restrict  to be larger than  , then   4 would be the domain.
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°
SECTION 1.1
FOUR WAYS TO REPRESENT A FUNCTION
¤
19
67. Let the length of a side of the equilateral triangle be . Then by the Pythagorean Theorem, the height  of the triangle satisfies
√
 1 2
 = 2 , so that  2 = 2 − 14 2 = 34 2 and  = 23 . Using the formula for the area  of a triangle,
2
√  √
 = 12 (base)(height), we obtain () = 12 () 23  = 43 2 , with domain   0.
2 +
68. Let the length, width, and height of the closed rectangular box be denoted by ,  , and , respectively. The length is twice
the width, so  = 2 . The volume  of the box is given by  = . Since  = 8, we have 8 = (2 )
8 = 2 2
⇒ =
⇒
8
4
4
=
, and so  = ( ) =
.
2 2
2
2
69. Let each side of the base of the box have length , and let the height of the box be . Since the volume is 2, we know that
2 = 2 , so that  = 22 , and the surface area is  = 2 + 4. Thus, () = 2 + 4(22 ) = 2 + (8), with
domain   0.
70. Let  and  denote the radius and the height of the right circular cylinder, respectively. Then the volume  is given by
 = 2 , and for this particular cylinder we have 2  = 25 ⇔ 2 =
25
. Solving for  and rejecting the negative

5
5
in.
solution gives  = √ , so  =  () = √


71. The height of the box is  and the length and width are  = 20 − 2,  = 12 − 2. Then  =   and so
 () = (20 − 2)(12 − 2)() = 4(10 − )(6 − )() = 4(60 − 16 + 2 ) = 43 − 642 + 240.
The sides ,  , and  must be positive. Thus,   0 ⇔ 20 − 2  0 ⇔   10;
  0 ⇔ 12 − 2  0 ⇔   6; and   0. Combining these restrictions gives us the domain 0    6.
72. The area of the window is  =  + 12 
 1 2
2
, where  is the height of the rectangular portion of the window.
 =  +
2
8
The perimeter is  = 2 +  + 12  = 30 ⇔ 2 = 30 −  − 12  ⇔  = 14 (60 − 2 − ). Thus,
() = 


60 − 2 − 
 +4
2
1


4

+
= 15 − 2 − 2 + 2 = 15 − 2 − 2 = 15 − 2
.
4
8
2
4
8
8
8
8
Since the lengths  and  must be positive quantities, we have   0 and   0. For   0, we have 2  0 ⇔
30 −  − 12   0 ⇔ 60  2 +  ⇔  
60
60
. Hence, the domain of  is 0   
.
2+
2+
73. We can summarize the amount of the fine with a
piecewise defined function.

15(40 − )


 () = 0


15( − 65)
if 0 ≤   40
if 40 ≤  ≤ 65
if   65
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°
20
¤
CHAPTER 1
FUNCTIONS AND MODELS
74. For the first 1200 kWh, () = 10 + 006.
For usage over 1200 kWh, the cost is
() = 10 + 006(1200) + 007( − 1200) = 82 + 007( − 1200).
Thus,
() =

10 + 006
if 0 ≤  ≤ 1200
82 + 007( − 1200) if   1200
75. (a)
(b) On $14,000, tax is assessed on $4000, and 10%($4000) = $400.
On $26,000, tax is assessed on $16,000, and
10%($10,000) + 15%($6000) = $1000 + $900 = $1900.
(c) As in part (b), there is $1000 tax assessed on $20,000 of income, so
the graph of  is a line segment from (10,000 0) to (20,000 1000).
The tax on $30,000 is $2500, so the graph of  for   20,000 is
the ray with initial point (20,000 1000) that passes through
(30,000 2500).
76. (a) Because an even function is symmetric with respect to the ­axis, and the point (5 3) is on the graph of this even function,
the point (−5 3) must also be on its graph.
(b) Because an odd function is symmetric with respect to the origin, and the point (5 3) is on the graph of this odd function,
the point (−5 −3) must also be on its graph.
77.  is an odd function because its graph is symmetric about the origin.  is an even function because its graph is symmetric with
respect to the ­axis.
78.  is not an even function since it is not symmetric with respect to the ­axis.  is not an odd function since it is not symmetric
about the origin. Hence,  is neither even nor odd.  is an even function because its graph is symmetric with respect to the
­axis.
79. (a) The graph of an even function is symmetric about the ­axis. We reflect the
given portion of the graph of  about the ­axis in order to complete it.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 1.1
FOUR WAYS TO REPRESENT A FUNCTION
(b) For an odd function, (−) = −(). The graph of an odd function is
symmetric about the origin. We rotate the given portion of the graph of 
through 180◦ about the origin in order to complete it.
80. (a) The graph of an even function is symmetric about the ­axis. We reflect the
given portion of the graph of  about the ­axis in order to complete it.
(b) The graph of an odd function is symmetric about the origin. We rotate the
given portion of the graph of  through 180◦ about the origin in order to
complete it.
81.  () =

.
2 + 1
 (−) =
−

−
= 2
=− 2
= −().
(−)2 + 1
 +1
 +1
Since  (−) = −(),  is an odd function.
83.  () =
−


, so (−) =
=
.
+1
− + 1
−1
Since this is neither  () nor − (), the function  is
neither even nor odd.
82.  () =
2
.
4 + 1
 (−) =
2
(−)2
= 4
=  ().
4
(−) + 1
 +1
Since  (−) =  (),  is an even function.
84.  () =  ||.
 (−) = (−) |−| = (−) || = −( ||)
= − ()
Since  (−) = −(),  is an odd function.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
¤
21
22
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CHAPTER 1
FUNCTIONS AND MODELS
85.  () = 1 + 32 − 4 .
86.  () = 1 + 33 − 5 , so
 (−) = 1+3(−)2 −(−)4 = 1+32 −4 =  ().
Since  (−) =  (),  is an even function.
 (−) = 1 + 3(−)3 − (−)5 = 1 + 3(−3 ) − (−5 )
= 1 − 33 + 5
Since this is neither  () nor − (), the function  is
neither even nor odd.
87. (i) If  and  are both even functions, then  (−) =  () and (−) = (). Now
( + )(−) = (−) + (−) =  () + () = ( + )(), so  +  is an even function.
(ii) If  and  are both odd functions, then  (−) = − () and (−) = −(). Now
( + )(−) = (−) + (−) = − () + [−()] = −[ () + ()] = −( + )(), so  +  is an odd function.
(iii) If  is an even function and  is an odd function, then ( + )(−) =  (−) + (−) =  () + [−()] =  () − (),
which is not ( + )() nor −( + )(), so  +  is neither even nor odd. (Exception: if  is the zero function, then
 +  will be odd. If  is the zero function, then  +  will be even.)
88. (i) If  and  are both even functions, then  (−) =  () and (−) = (). Now
( )(−) =  (−)(−) =  ()() = ( )(), so  is an even function.
(ii) If  and  are both odd functions, then  (−) = − () and (−) = −(). Now
( )(−) =  (−)(−) = [− ()][−()] =  ()() = ( )(), so   is an even function.
(iii) If  is an even function and  is an odd function, then
( )(−) =  (−)(−) =  ()[−()] = −[ ()()] = −( )(), so   is an odd function.
1.2 Mathematical Models: A Catalog of Essential Functions
1. (a)  () = 3 + 32 is a polynomial function of degree 3. (This function is also an algebraic function.)
(b) () = cos2  − sin  is a trigonometric function.
√
(c) () = 
3
is a power function.
(d) () = 8 is an exponential function.
√

is an algebraic function. It is the quotient of a root of a polynomial and a polynomial of degree 2.
(e)  = 2
 +1
(f ) () = log10  is a logarithmic function.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 1.2 MATHEMATICAL MODELS: A CATALOG OF ESSENTIAL FUNCTIONS
2. (a)  () =
¤
23
32 + 2
is a rational function. (This function is also an algebraic function.)

(b) () = 23 is an exponential function.
√
(c) () =  + 4 is an algebraic function. It is a root of a polynomial.
(d)  = 4 + 5 is a polynomial function of degree 4.
√
3
(e) () =  is a root function. Rewriting () as 13 , we recognize the function also as a power function.
(This function is, further, an algebraic function because it is a root of a polynomial.)
1
is a rational function. Rewriting  as −2 , we recognize the function also as a power function.
2
(This function is, further, an algebraic function because it is the quotient of two polynomials.)
(f )  =
3. We notice from the figure that  and  are even functions (symmetric with respect to the ­axis) and that  is an odd function


(symmetric with respect to the origin). So (b)  = 5 must be  . Since  is flatter than  near the origin, we must have




(c)  = 8 matched with  and (a)  = 2 matched with .
4. (a) The graph of  = 3 is a line (choice ).
(b)  = 3 is an exponential function (choice  ).
(c)  = 3 is an odd polynomial function or power function (choice  ).
√
3
(d)  =  = 13 is a root function (choice ).
5. The denominator cannot equal 0, so 1 − sin  6= 0
 () =

cos 
is  |  6=
1 − sin 

2
⇔ sin  6= 1 ⇔  6=

+ 2,  an integer .
6. The denominator cannot equal 0, so 1 − tan  6= 0
if  6=

2
+ . Thus, the domain of () =
⇔ tan  6= 1 ⇔  6=
1
1 − tan 

is  |  6=

4

2

4
+ ,  6=
+ 2. Thus, the domain of
+ . The tangent function is not defined

2

+ ,  an integer .
7. (a) An equation for the family of linear functions with slope 2
is  =  () = 2 + , where  is the ­intercept.
(b)  (2) = 1 means that the point (2 1) is on the graph of  . We can use the
point­slope form of a line to obtain an equation for the family of linear
functions through the point (2 1).  − 1 = ( − 2), which is equivalent
to  =  + (1 − 2) in slope­intercept form.
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CHAPTER 1
FUNCTIONS AND MODELS
(c) To belong to both families, an equation must have slope  = 2, so the equation in part (b),  =  + (1 − 2),
becomes  = 2 − 3. It is the only function that belongs to both families.
8. All members of the family of linear functions () = 1 + ( + 3) have
graphs that are lines passing through the point (−3 1).
9. All members of the family of linear functions () =  −  have graphs
that are lines with slope −1. The ­intercept is .
10. We graph  () = 3 − 2 for  = −2, 0, 1, and 3. For  6= 0,
 () = 3 − 2 = 2 ( − ) has two ­intercepts, 0 and . The curve has
one decreasing portion that begins or ends at the origin and increases in
length as || increases; the decreasing portion is in quadrant II for   0 and
in quadrant IV for   0.
11. Because  is a quadratic function, we know it is of the form  () = 2 +  + . The ­intercept is 18, so  (0) = 18
⇒
 = 18 and  () =  +  + 18. Since the points (3 0) and (4 2) lie on the graph of  , we have
2
9 + 3 + 18 = 0 ⇒ 3 +  = −6
(1)
 (4) = 2 ⇒ 16 + 4 + 18 = 2 ⇒ 4 +  = −4
(2)
 (3) = 0 ⇒
This is a system of two equations in the unknowns  and , and subtracting (1) from (2) gives  = 2. From (1),
3 (2) +  = −6 ⇒  = −12, so a formula for  is  () = 22 − 12 + 18.
12.  is a quadratic function so  () = 2 +  + . The y­intercept is 1, so  (0) = 1
⇒  = 1 and  () = 2 +  + 1.
Since the points (−2 2) and (1 −25) lie on the graph of , we have
(−2) = 2
⇒ 4 − 2 + 1 = 2
(1) = −25 ⇒
⇒ 4 − 2 = 1
 +  + 1 = −25 ⇒
 +  = −35
(1)
(2)
Then (1) + 2 · (2) gives us 6 = −6 ⇒  = −1 and from (2), we have −1 +  = −35 ⇒  = −25, so a formula for
 is () = −2 − 25 + 1.
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°
SECTION 1.2 MATHEMATICAL MODELS: A CATALOG OF ESSENTIAL FUNCTIONS
¤
13. Since  (−1) =  (0) = (2) = 0,  has zeros of −1, 0, and 2, so an equation for  is  () = [ − (−1)]( − 0)( − 2),
or  () = ( + 1)( − 2). Because  (1) = 6, we’ll substitute 1 for  and 6 for  ().
6 = (1)(2)(−1) ⇒ −2 = 6 ⇒  = −3, so an equation for  is  () = −3( + 1)( − 2).
14. (a) For  = 002 + 850, the slope is 002, which means that the average surface temperature of the world is increasing at
a rate of 002 ◦ C per year. The  ­intercept is 850, which represents the average surface temperature in ◦ C in the
year 1900.
(b)  = 2100 − 1900 = 200 ⇒  = 002(200) + 850 = 1250 ◦ C
15. (a)  = 200, so  = 00417( + 1) = 00417(200)( + 1) = 834 + 834. The slope is 834, which represents the
change in mg of the dosage for a child for each change of 1 year in age.
(b) For a newborn,  = 0, so  = 834 mg.
16. (a)
(b) The slope of −4 means that for each increase of 1 dollar for a
rental space, the number of spaces rented decreases by 4. The
­intercept of 200 is the number of spaces that would be occupied
if there were no charge for each space. The ­intercept of 50 is the
smallest rental fee that results in no spaces rented.
17. (a)
(b) The slope of
9
5
means that  increases
9
5
degrees for each increase
of 1◦ C. (Equivalently,  increases by 9 when  increases by 5
and  decreases by 9 when  decreases by 5.) The  ­intercept of
32 is the Fahrenheit temperature corresponding to a Celsius
temperature of 0.
18. (a) Jari is traveling faster since the line representing her distance versus time is steeper than the corresponding line for Jade.
(b) At  = 0, Jade has traveled 10 miles. At  = 6, Jade has traveled 16 miles. Thus, Jade’s speed is
16 miles − 10 miles
1 mile
60 minutes
= 1 mimin. This is
×
= 60 mih
6 minutes − 0 minutes
1 minute
1 hour
At  = 0, Jari has traveled 0 miles. At  = 6, Jari has traveled 7 miles. Thus, Jari’s speed is
7 miles − 0 miles
7
7 miles
60 minutes
= mimin or
×
= 70 mih
6 minutes − 0 minutes
6
6 minutes
1 hour
(c) From part (b), we have a slope of 1 (mileminute) for the linear function  modeling the distance traveled by Jade and
from the graph the ­intercept is 10. Thus, () = 1 + 10 =  + 10. Similarly, we have a slope of
7
6
milesminute for
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26
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CHAPTER 1
FUNCTIONS AND MODELS
Jari and a ­intercept of 0. Thus, the distance traveled by Jari as a function of time  (in minutes) is modeled by
() = 76  + 0 = 76 .
19. (a) Let  denote the number of chairs produced in one day and  the associated
cost. Using the points (100 2200) and (300 4800), we get the slope
4800−2200
300−100
=
2600
200
= 13. So  − 2200 = 13( − 100) ⇔
 = 13 + 900.
(b) The slope of the line in part (a) is 13 and it represents the cost (in dollars)
of producing each additional chair.
(c) The ­intercept is 900 and it represents the fixed daily costs of operating
the factory.
20. (a) Using  in place of  and  in place of , we find the slope to be
80
1
2 − 1
460 − 380
=
= .
=
2 − 1
800 − 480
320
4
So a linear equation is  − 460 = 14 ( − 800) ⇔  − 460 = 14  − 200 ⇔  = 14  + 260.
(c)
(b) Letting  = 1500 we get  = 14 (1500) + 260 = 635.
The cost of driving 1500 miles is $635.
(d) The ­intercept represents the fixed cost, $260.
(e) A linear function gives a suitable model in this situation because you
have fixed monthly costs such as insurance and car payments, as well
as costs that increase as you drive, such as gasoline, oil, and tires, and
The slope of the line represents the cost per
the cost of these for each additional mile driven is a constant.
mile, $025.
21. (a) We are given
434
change in pressure
=
= 0434. Using  for pressure and  for depth with the point
10 feet change in depth
10
(  ) = (0 15), we have the slope­intercept form of the line,  = 0434 + 15.
(b) When  = 100, then 100 = 0434 + 15 ⇔ 0434 = 85 ⇔  =
85
0434
≈ 19585 feet. Thus, the pressure is
100 lbin2 at a depth of approximately 196 feet.
22. (a) () = −2 and  (0005) = 140, so 140 = (0005)−2
⇔  = 140(0005)2 = 00035.
(b) () = 00035−2 , so for a diameter of 0008 m the resistance is (0008) = 00035(0008)−2 ≈ 547 ohms.
23. If  is the original distance from the source, then the illumination is  () = −2 = 2 . Moving halfway to the lamp gives
an illumination of 
 −2
1 
 =  12 
= (2)2 = 4(2 ), so the light is four times as bright.
2
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°
SECTION 1.2 MATHEMATICAL MODELS: A CATALOG OF ESSENTIAL FUNCTIONS
24. (a)  =  and  = 39 kPa when  = 0671 m3 , so 39 = 0671
¤
27
⇔  = 39(0671) = 26169.
(b) When  = 0916,  = 26169 = 261690916 ≈ 286, so the pressure is reduced to approximately 286 kPa.
25. (a)  = 3 so doubling the windspeed  gives  = (2)3 = 8(3 ). Thus, the power output is increased by a factor
of eight.
(b) The area swept out by the blades is given by  = 2 , where  is the blade length, so the power output is
 = 3 = 2  3 . Doubling the blade length gives  = (2)2  3 = 4(2  3 ). Thus, the power output is increased
by a factor of four.
(c) From part (b) we have  = 2  3 , and  = 0214 kgm3 ,  = 30 m gives
 = 0214
kg
kg
· 900 m2 ·  3 = 1926 3
m3
m
For  = 10 ms, we have
 m 3 kg
m2 · kg
= 192,600
≈ 605,000 W
 = 1926 10
s
m
s3
Similarly,  = 15 ms gives  = 650,025 ≈ 2,042,000 W and  = 25 ms gives  = 3,009,375 ≈ 9,454,000 W.
26. (a) We graph ( ) = (567 × 10−8 ) 4 for 100 ≤  ≤ 300:
(b) From the graph, we see that as temperature increases, energy increases—slowly at first, but then at an increasing rate.
27. (a) The data appear to be periodic and a sine or cosine function would make the best model. A model of the form
 () =  cos() +  seems appropriate.
(b) The data appear to be decreasing in a linear fashion. A model of the form  () =  +  seems appropriate.
28. (a) The data appear to be increasing exponentially. A model of the form () =  ·  or  () =  ·  +  seems
appropriate.
(b) The data appear to be decreasing similarly to the values of the reciprocal function. A model of the form  () = 
seems appropriate.
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CHAPTER 1
FUNCTIONS AND MODELS
Exercises 29 – 33: Some values are given to many decimal places. The results may depend on the technology used — rounding is left to the reader.
(b) Using the points (4000 141) and (60,000 82), we obtain
29. (a)
82 − 141
( − 4000) or, equivalently,
60,000 − 4000
 ≈ −0000105357 + 14521429.
 − 141 =
A linear model does seem appropriate.
(c) Using a computing device, we obtain the regression line  = −00000997855 + 13950764.
The following commands and screens illustrate how to find the regression line on a TI­84 Plus calculator.
Enter the data into list one (L1) and list two (L2). Press
to enter the editor.
Find the regession line and store it in Y1 . Press
.
Note from the last figure that the regression line has been stored in Y1 and that Plot1 has been turned on (Plot1 is
highlighted). You can turn on Plot1 from the Y= menu by placing the cursor on Plot1 and pressing
.
pressing
Now press
to produce a graph of the data and the regression
line. Note that choice 9 of the ZOOM menu automatically selects a window
that displays all of the data.
(d) When  = 25,000,  ≈ 11456; or about 115 per 100 population.
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°
or by
SECTION 1.2 MATHEMATICAL MODELS: A CATALOG OF ESSENTIAL FUNCTIONS
¤
29
(e) When  = 80,000,  ≈ 5968; or about a 6% chance.
(f ) When  = 200,000,  is negative, so the model does not apply.
30. (a) Using a computing device, we obtain the regression line  = 001879 + 030480.
(b) The regression line appears to be a suitable model for the data.
(c) The ­intercept represents the percentage of laboratory rats that
develop lung tumors when not exposed to asbestos fibers.
31. (a)
(b) Using a computing device, we obtain the regression line
 = 188074 + 8264974.
(c) When  = 53 cm,  ≈ 1823 cm.
32. (a) See the scatter plot in part (b). A linear model seems appropriate.
(b) Using a computing device, we obtain the regression line
 = 031567 + 815578.
(c) For 2005,  = 5 and  ≈ 973 centskWh. For 2017,  = 17 and
 ≈ 1352 centskWh.
33. (a) See the scatter plot in part (b). A linear model seems appropriate.
(b) Using a computing device, we obtain the regression line
 = 112486 + 60,11986.
(c) For 2002,  = 17 and  ≈ 79,242 thousands of barrels per day.
For 2017,  = 32 and  ≈ 96,115 thousands of barrels per day.
34. (a)  = 1000 431 227 1499 528 750
(b) The power model in part (a) is approximately  = 15 . Squaring both sides gives us  2 = 3 , so the model matches
Kepler’s Third Law,  2 =  3 .
35. (a) If  = 60, then  = 0703  239, so you would expect to find 2 species of bats in that cave.
(b)  = 4 ⇒ 4 = 0703
to be 334 m2 .
⇒
40
7
= 310
⇒ =
 40 103
7
 3336, so we estimate the surface area of the cave
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CHAPTER 1 FUNCTIONS AND MODELS
36. (a) Using a computing device, we obtain a power function  =  , where   31046 and   0308.
(b) If  = 291, then  =   178, so you would expect to find 18 species of reptiles and amphibians on Dominica.
  
(4)



1

=
.
37. We have  =
=
. Thus,  = 2 with  =
42
4
2
2

4
1.3 New Functions from Old Functions
1. (a) If the graph of  is shifted 3 units upward, its equation becomes  =  () + 3.
(b) If the graph of  is shifted 3 units downward, its equation becomes  =  () − 3.
(c) If the graph of  is shifted 3 units to the right, its equation becomes  =  ( − 3).
(d) If the graph of  is shifted 3 units to the left, its equation becomes  =  ( + 3).
(e) If the graph of  is reflected about the ­axis, its equation becomes  = − ().
(f ) If the graph of  is reflected about the ­axis, its equation becomes  =  (−).
(g) If the graph of  is stretched vertically by a factor of 3, its equation becomes  = 3 ().
(h) If the graph of  is shrunk vertically by a factor of 3, its equation becomes  = 13  ().
2. (a) To obtain the graph of  =  () + 8 from the graph of  =  (), shift the graph 8 units upward.
(b) To obtain the graph of  =  ( + 8) from the graph of  =  (), shift the graph 8 units to the left.
(c) To obtain the graph of  = 8() from the graph of  =  (), stretch the graph vertically by a factor of 8.
(d) To obtain the graph of  =  (8) from the graph of  =  (), shrink the graph horizontally by a factor of 8.
(e) To obtain the graph of  = − () − 1 from the graph of  =  (), first reflect the graph about the ­axis, and then shift it
1 unit downward.
(f ) To obtain the graph of  = 8 ( 18 ) from the graph of  =  (), stretch the graph horizontally and vertically by a factor
of 8.
3. (a) Graph 3: The graph of  is shifted 4 units to the right and has equation  =  ( − 4).
(b) Graph 1: The graph of  is shifted 3 units upward and has equation  = () + 3.
(c) Graph 4: The graph of  is shrunk vertically by a factor of 3 and has equation  = 13 ().
(d) Graph 5: The graph of  is shifted 4 units to the left and reflected about the ­axis. Its equation is  = − ( + 4).
(e) Graph 2: The graph of  is shifted 6 units to the left and stretched vertically by a factor of 2. Its equation is
 = 2 ( + 6).
4. (a)  =  () − 3: Shift the graph of  3 units down.
(b)  = ( + 1): Shift the graph of  1 unit to the left.
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°
SECTION 1.3 NEW FUNCTIONS FROM OLD FUNCTIONS
(c)  = 12  (): Shrink the graph of  vertically by a
¤
(d)  = − (): Reflect the graph of  about the ­axis.
factor of 2.
5. (a) To graph  =  (2) we shrink the graph of 
horizontally by a factor of 2.
(b) To graph  = 
1 
 we stretch the graph of 
2
horizontally by a factor of 2.
The point (4 −1) on the graph of  corresponds to the
The point (4 −1) on the graph of  corresponds to the


point 12 · 4 −1 = (2 −1).
(c) To graph  =  (−) we reflect the graph of  about
(d) To graph  = − (−) we reflect the graph of  about
the ­axis, then about the ­axis.
the ­axis.
The point (4 −1) on the graph of  corresponds to the
point (−1 · 4 −1) = (−4 −1).
6. The graph of  =  () =
point (2 · 4 −1) = (8 −1).
The point (4 −1) on the graph of  corresponds to the
point (−1 · 4 −1 · −1) = (−4 1).
√
3 − 2 has been shifted 2 units to the right and stretched vertically by a factor of 2.
Thus, a function describing the graph is
 = 2 ( − 2) = 2
7. The graph of  =  () =


√
3( − 2) − ( − 2)2 = 2 3 − 6 − (2 − 4 + 4) = 2 −2 + 7 − 10
√
3 − 2 has been shifted 4 units to the left, reflected about the ­axis, and shifted downward
1 unit. Thus, a function describing the graph is
=
−1 ·
  
reflect
about ­axis
 ( + 4)
  
shift
4 units left
− 1
  
shift
1 unit left
This function can be written as

 = −( + 4) − 1 = − 3( + 4) − ( + 4)2 − 1

√
= − 3 + 12 − (2 + 8 + 16) − 1 = − −2 − 5 − 4 − 1
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32
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CHAPTER 1 FUNCTIONS AND MODELS
8. (a) The graph of  = 1 +
√
√
 can be obtained from the graph of  =  by
shifting it upward 1 unit.
(b) The graph of  = sin  can be obtained from the graph of  = sin  by compressing horizontally by a factor of , giving
a period of 2 = 2. The graph of  = 5 sin  is then obtained by stretching vertically by a factor of 5.
9.  = 1 + 2 .
10.  = ( + 1)2 .
Start with the graph of  = 2 and shift 1 unit upward
Start with the graph of  = 2 and shift 1 unit to the left.
11.  = | + 2|.
Start with the graph of  = || and shift 2 units to the left.
12.  = 1 − 3 .
Start with the graph of  = 3 , reflect about the ­axis, and then shift 1 unit upward.
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°
SECTION 1.3 NEW FUNCTIONS FROM OLD FUNCTIONS
13.  =
¤
33
1
1
+ 2. Start with the graph of  = and shift 2 units upward.


√
14.  = −  − 1.
15.  = sin 4.
Start with the graph of  =
√
, reflect about the ­axis, and then shift 1 unit downward.
Start with the graph of  = sin  and compress horizontally by a factor of 4. The period becomes 24 = 2.
16.  = 1 +
1
1
. Start with the graph of  = 2 and shift 1 unit upward.
2

17.  = 2 +

√
 + 1. Start with the graph of  = , shift 1 unit to the left, and then shift 2 units upward.
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°
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¤
CHAPTER 1 FUNCTIONS AND MODELS
18.  = −( − 1)2 + 3.
Start with the graph of  = 2 , shift 1 unit to the right, reflect about the ­axis, and then shift 3 units
upward.
19.  = 2 − 2 + 5 = (2 − 2 + 1) + 4 = ( − 1)2 + 4.
Start with the graph of  = 2 , shift 1 unit to the right, and then
shift 4 units upward.
20.  = ( + 1)3 + 2.
21.  = 2 − ||.
Start with the graph of  = 3 , shift 1 unit to the left, and then shift 2 units upward.
Start with the graph of  = ||, reflect about the ­axis, and then shift 2 units upward.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 1.3 NEW FUNCTIONS FROM OLD FUNCTIONS
22.  = 2 − 2 cos .
¤
35
Start with the graph of  = cos , reflect about the ­axis, stretch vertically by a factor of 2, and then shift 2
units upward.
23.  = 3 sin 12  + 1.
Start with the graph of  = sin , stretch horizontally by a factor of 2, stretch vertically by a factor of 3,
and then shift 1 unit upward.
24.  =
1
4


tan  − 4 . Start with the graph of  = tan , shift

4
units to the right, and then compress vertically by a
factor of 4.
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°
36
¤
CHAPTER 1 FUNCTIONS AND MODELS
25.  = |cos |.
Start with the graph of  = cos , shrink horizontally by a factor of , and reflect all the parts of the graph
below the ­axis about the ­axis.
√



26.  =   − 1.
Start with the graph of  =
√
, shift 1 unit downward, and then reflect the portion of the graph below the
­axis about the ­axis.
27. This is just like the solution to Example 4 except the amplitude of the curve (the 30◦ N curve in Figure 9 on June 21) is

 2
( − 80) . March 31 is the 90th day of the year, so the model gives
14 − 12 = 2. So the function is () = 12 + 2 sin 365
(90) ≈ 1234 h. The daylight time (5:51 AM to 6:18 PM) is 12 hours and 27 minutes, or 1245 h. The model value differs
from the actual value by
1245−1234
1245
≈ 0009, less than 1%.
28. Using a sine function to model the brightness of Delta Cephei as a function of time, we take its period to be 54 days, its
amplitude to be 035 (on the scale of magnitude), and its average magnitude to be 40. If we take  = 0 at a time of
average brightness, then the magnitude (brightness) as a function of time  in days can be modeled by the formula
 2 
() = 40 + 035 sin 54
 .
29. The water depth () can be modeled by a cosine function with amplitude
12 + 2
12 − 2
= 5 m, average magnitude
= 7 m,
2
2
and period 12 hours. High tide occurred at time 6:45 AM ( = 675 h), so the curve begins a cycle at time  = 675 h (shift




6.75 units to the right). Thus, () = 5 cos 2
12 ( − 675) + 7 = 5 cos 6 ( − 675) + 7, where  is in meters and  is the
number of hours after midnight.
30. The total volume of air  () in the lungs can be modeled by a sine function with amplitude
volume
2500 − 2000
= 250 mL, average
2
2500 + 2000
= 2250 mL, and period 4 seconds. Thus,  () = 250 sin 2
 + 2250 = 250 sin 2  + 2250, where
4
2
 is in mL and  is in seconds.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 1.3 NEW FUNCTIONS FROM OLD FUNCTIONS
¤
37
31. (a) To obtain  =  (||), the portion of the graph of  =  () to the right of the ­axis is reflected about the ­axis.
(b)  = sin ||
(c)  =

||
32. The most important features of the given graph are the ­intercepts and the maximum
and minimum points. The graph of  = 1() has vertical asymptotes at the ­values
where there are ­intercepts on the graph of  = (). The maximum of 1 on the graph
of  =  () corresponds to a minimum of 11 = 1 on  = 1(). Similarly, the
minimum on the graph of  =  () corresponds to a maximum on the graph of
 = 1(). As the values of  get large (positively or negatively) on the graph of
 =  (), the values of  get close to zero on the graph of  = 1().
√
25 − 2 is defined only when 25 − 2 ≥ 0 ⇔ 2 ≤ 25 ⇔ −5 ≤  ≤ 5, so the domain of  is [−5 5].
√
For () =  + 1, we must have  + 1 ≥ 0 ⇔  ≥ −1, so the domain of  is [−1 ∞).
√
√
(a) ( + )() = 25 − 2 +  + 1. The domain of  +  is found by intersecting the domains of  and : [−1 5].
√
√
(b) ( − )() = 25 − 2 −  + 1. The domain of  −  is found by intersecting the domains of  and : [−1 5].
√
√
√
(c) ( )() = 25 − 2 ·  + 1 = −3 − 2 + 25 + 25. The domain of   is found by intersecting the domains of 
33.  () =
and : [−1 5].

√
 

25 − 2
25 − 2
(d)
=
() = √
. Notice that we must have  + 1 6= 0 in addition to any previous restrictions.

+1
+1
Thus, the domain of   is (−1 5].
1
1
, we must have  − 1 6= 0 ⇔  6= 1. For () = − 2, we must have  6= 0.
−1

 +  − 1 − 2( − 1)
1
1
2 − 1 − 22 + 2
22 − 4 + 1
(a) ( + )() =
+ −2=
=
=−
, { |  6= 0 1}
2
−1

( − 1)
 −
2 − 


1
 − ( − 1) + 2( − 1)
1 + 22 − 2
22 − 2 + 1
1
−
−2 =
=
=
, { |  6= 0 1}
(b) ( − )() =
2
−1

( − 1)
 −
2 − 
34. For  () =
1
(c) ( )() =
−1


1
1
2
1 − 2
−2 = 2
−
= 2
, { |  6= 0 1}

 − −1
 −
1
1
 




−
1

−
1 = 1 · 
() =
=
=−
=
(d)
1
1 − 2

 − 1 1 − 2
( − 1)(1 − 2)
( − 1)(2 − 1)
−2





,  |  6= 0 12  1
=− 2
2 − 3 + 1
[Note the additional domain restriction  () 6= 0 ⇒  6= 12 .]
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°
38
¤
CHAPTER 1 FUNCTIONS AND MODELS
√
3
. The domain of each function is (−∞ ∞).
√
 √
3
3
3
(a) ( ◦ ) () =  (()) = 
 =
 + 5 =  + 5. The domain is (−∞ ∞).

3
(b) ( ◦ )() = ( ()) = (3 + 5) = 3 + 5. The domain is (−∞ ∞).
35.  () = 3 + 5 and () =
(c) ( ◦  )() = ( ()) =  (3 + 5) = (3 + 5)3 + 5. The domain is (−∞ ∞).
√
 
√
3 √
3
3
9
(d) ( ◦ )() = (()) = 
 =
 = . The domain is (−∞ ∞).
36.  () = 1 and () = 2 + 1. The domain of  is (−∞ 0) ∪ (0 ∞). The domain of  is (−∞ ∞).
1
. The domain is
(a) ( ◦ )() =  (()) =  (2 + 1) =
2 + 1



 

{ | 2 + 1 6= 0} =  |  6= − 12 = −∞ − 12 ∪ − 12  ∞ .
 
 
1
2
1
=2
+ 1 = + 1. We must have  6= 0, so the domain is (−∞ 0) ∪ (0 ∞).
(b) ( ◦ )() = ( ()) = 



 
1
1
(c) ( ◦  )() = ( ()) = 
=
= . Since  requires  6= 0, the domain is (−∞ 0) ∪ (0 ∞).

1
(d) ( ◦ )() = (()) = (2 + 1) = 2(2 + 1) + 1 = 4 + 3. The domain is (−∞ ∞).
1
and () =  + 1. The domain of  is (0 ∞). The domain of  is (−∞ ∞).

1
(a) ( ◦ )() =  (()) = ( + 1) = √
. We must have  + 1  0, or   −1, so the domain is (−1 ∞).
+1


1
1
(b) ( ◦ )() = ( ()) =  √
= √ + 1. We must have   0, so the domain is (0 ∞).




√
√
1
1
1
4
=  √ = √ =
 = . We must have   0, so the domain
(c) ( ◦  )() = ( ()) =  √

1

1 
37.  () = √
is (0 ∞).
(d) ( ◦ )() = (()) = ( + 1) = ( + 1) + 1 =  + 2. The domain is (−∞ ∞).

and () = 2 − 1. The domain of  is (−∞ −1) ∪ (−1 ∞). The domain of  is (−∞ ∞).
+1
2 − 1
2 − 1
=
. We must have 2 6= 0 ⇔  6= 0. Thus, the domain
(a) ( ◦ )() =  (()) =  (2 − 1) =
(2 − 1) + 1
2
is (−∞ 0) ∪ (0 ∞).


2
2 − 1( + 1)
−1

(b) ( ◦  )() = ( ()) = 2
−1=
−1 =
=
. We must have  + 1 6= 0 ⇔
+1
+1
+1
+1
38.  () =
 6= −1. Thus, the domain is (−∞ −1) ∪ (−1 ∞).


+1



+
1

+
=  1 ·
=
=
. We must have both  + 1 6= 0
(c) ( ◦  )() =  ( ()) = 
 + ( + 1)
2 + 1
+1
+1 +1
+1
+1
 


and 2 + 1 6= 0, so the domain excludes both −1 and − 12 . Thus, the domain is (−∞ −1) ∪ −1 − 12 ∪ − 12  ∞ .
(d) ( ◦ )() = (()) = (2 − 1) = 2(2 − 1) − 1 = 4 − 3. The domain is (−∞ ∞).
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°
SECTION 1.3 NEW FUNCTIONS FROM OLD FUNCTIONS
¤
2
and () = sin . The domain of  is (−∞ 0) ∪ (0 ∞). The domain of  is (−∞ ∞).

2
= 2 csc . We must have sin  6= 0, so the domain is
(a) ( ◦ )() = (()) =  (sin ) =
sin 
39.  () =
{ |  6= ,  an integer}.
 
 
2
2
(b) ( ◦ )() = ( ()) = 
= sin
. We must have  6= 0, so the domain is (−∞ 0) ∪ (0 ∞).


 
2
2
= . Since  requires  6= 0, the domain is (−∞ 0) ∪ (0 ∞).
(c) ( ◦  )() = ( ()) = 
=

2

(d) ( ◦ )() = (()) = (sin ) = sin(sin ). The domain is (−∞ ∞).
√
√
5 −  and () =  − 1. The domain of  is (−∞ 5] and the domain of  is [1 ∞).
√
 
√
(a) ( ◦ )() =  (()) =   − 1 = 5 −  − 1. We must have  − 1 ≥ 0 ⇔  ≥ 1 and
√
√
5− −1≥0 ⇔
 − 1 ≤ 5 ⇔ 0 ≤  − 1 ≤ 25 ⇔ 1 ≤  ≤ 26. Thus, the domain is [1 26].
√
 √
(b) ( ◦ )() = ( ()) =  5 −  =
5 −  − 1. We must have 5 −  ≥ 0 ⇔  ≤ 5 and
√
√
5−−1≥0 ⇔
5 −  ≥ 1 ⇔ 5 −  ≥ 1 ⇔  ≤ 4. Intersecting the restrictions on  gives a domain
40.  () =
of (−∞ 4].
 
√
√
(c) ( ◦  )() = ( ()) =  5 −  = 5 − 5 − . We must have 5 −  ≥ 0 ⇔  ≤ 5 and
√
√
5− 5−≥0 ⇔
5 −  ≤ 5 ⇔ 0 ≤ 5 −  ≤ 25 ⇔ −5 ≤ − ≤ 20 ⇔ −20 ≤  ≤ 5.
Intersecting the restrictions on  gives a domain of [−20 5].
√
 √
(d) ( ◦ )() = (()) =   − 1 =
 − 1 − 1. We must have  − 1 ≥ 0 ⇔  ≥ 1 and
√
√
−1−1 ≥0 ⇔
 − 1 ≥ 1 ⇔  − 1 ≥ 1 ⇔  ≥ 2. Intersecting the restrictons on  gives a domain
of [2 ∞).
41. ( ◦  ◦ )() =  ((())) =  ((2 )) =  (sin(2 )) = 3 sin(2 ) − 2

 √ 
 √   √



=  2  = 2  − 4
42. ( ◦  ◦ )() =  ((())) =  
43. ( ◦  ◦ )() =  ((())) =  ((3 + 2)) =  [(3 + 2)2 ] =  (6 + 43 + 4)
=

√
(6 + 43 + 4) − 3 = 6 + 43 + 1
  √ 
3
44. ( ◦  ◦ )() =  ((())) =  

=


√
3

√
3
−1

= tan

√
3

√
3
−1
45. Let () = 2 + 2 and  () = 4 . Then ( ◦ )() = (()) =  (2 + 2 ) = (2 + 2 )4 =  ().
46. Let () = cos  and  () = 2 . Then ( ◦ )() =  (()) =  ( cos ) = (cos )2 = cos2  =  ().
47. Let () =
√
3
 and  () =
√
3
√ 


3
√
=  ().
. Then ( ◦ )() =  (()) = 
 =
3
1+
1+ 
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
39
40
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CHAPTER 1 FUNCTIONS AND MODELS
48. Let () =
 

√



3
and  () = . Then ( ◦ )() =  (()) = 
= 3
= ().
1+
1+
1+
49. Let () = 2 and  () = sec  tan . Then ( ◦ )() =  (()) =  (2 ) = sec(2 ) tan(2 ) = ().
50. Let () =
√  
√
√
√
 and  () = 1 + . Then ( ◦ )() =  (()) = 
 = 1 +  = ().
√
√
, () =  − 1, and () = . Then
 √ 
√
 √
( ◦  ◦ )() =  ((())) =   
=
−1 =
 − 1 = ().
51. Let () =
52. Let () = ||, () = 2 + , and () =
√
8
. Then
( ◦  ◦ )() =  ((())) =  ((||)) =  (2 + ||) =
53. Let () = cos , () = sin , and () = 2 . Then

8
2 + || = ().
( ◦  ◦ )() =  ((())) =  ((cos )) = (sin(cos )) = [sin(cos )]2 = sin2 (cos ) = ().
√
 + 1, and  () = cos . Then
√

√

( ◦  ◦ )() =  ((())) =  ((tan )) =  tan  + 1 = cos tan  + 1 = ().
54. Let () = tan , () =
55. (a)  ((3)) =  (4) = 6.
(b) ( (2)) = (1) = 5.
(c) ( ◦ )(5) =  ((5)) =  (3) = 5.
(d) ( ◦  )(5) = ( (5)) = (2) = 3.
56. (a) (((2))) = ((3)) = (4) = 1.
(b) ( ◦  ◦  )(1) =  (( (1))) =  ( (3)) = (5) = 2.
(c) ( ◦  ◦ )(1) =  (((1))) =  ( (5)) =  (2) = 1.
(d) ( ◦  ◦ )(3) = ( ((3))) = ( (4)) = (6) = 2.
57. (a) (2) = 5, because the point (2 5) is on the graph of . Thus, ((2)) =  (5) = 4, because the point (5 4) is on the
graph of  .
(b) ((0)) = (0) = 3
(c) ( ◦ )(0) =  ((0)) =  (3) = 0
(d) ( ◦  )(6) = ( (6)) = (6). This value is not defined, because there is no point on the graph of  that has
­coordinate 6.
(e) ( ◦ )(−2) = ((−2)) = (1) = 4
(f ) ( ◦  )(4) =  ( (4)) = (2) = −2
58. To find a particular value of  (()), say for  = 0, we note from the graph that (0) ≈ 28 and  (28) ≈ −05. Thus,
 ( (0)) ≈ (28) ≈ −05. The other values listed in the table were obtained in a similar fashion.

()
 (())

()
−5
−02
−4
0
28
22
22
−33
1
−3
−17
2
12
3
−05
3
−1
−02
4
−02
−4
−2
12
28
5
−19
−41
 (())
−05
−17
−33
−4
−22
19
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°
SECTION 1.3 NEW FUNCTIONS FROM OLD FUNCTIONS
¤
59. (a) Using the relationship distance = rate · time with the radius  as the distance, we have () = 60.
(b)  = 2
⇒ ( ◦ )() = (()) = (60)2 = 36002 . This formula gives us the extent of the rippled area
(in cm2 ) at any time .
60. (a) The radius  of the balloon is increasing at a rate of 2 cms, so () = (2 cms)( s) = 2 (in cm).
(b) Using  = 43 3 , we get ( ◦ )() =  (()) =  (2) = 43 (2)3 =
The result,  =
32
3 ,
3
32
3 .
3
gives the volume of the balloon (in cm3 ) as a function of time (in s).
61. (a) From the figure, we have a right triangle with legs 6 and , and hypotenuse .
By the Pythagorean Theorem, 2 + 62 = 2
⇒  =  () =
√
 2 + 36.
(b) Using  = , we get  = (30 kmh)( hours) = 30 (in km). Thus,
 = () = 30.
(c) ( ◦ )() =  (()) =  (30) =

√
(30)2 + 36 = 9002 + 36. This function represents the distance between the
lighthouse and the ship as a function of the time elapsed since noon.
62. (a)  = 
⇒ () = 350
(b) There is a Pythagorean relationship involving the legs with lengths  and 1 and the hypotenuse with length :
√
2 + 12 = 2 . Thus, () = 2 + 1.
(c) ( ◦ )() = (()) = (350) =
63. (a)
() =

0
if   0
1
if  ≥ 0

(350)2 + 1
(b)
 () =

0
if   0
120 if  ≥ 0
so  () = 120().
Starting with the formula in part (b), we replace 120 with 240 to reflect the
(c)
different voltage. Also, because we are starting 5 units to the right of  = 0,
we replace  with  − 5. Thus, the formula is  () = 240( − 5).
64. (a) () = ()
=

0 if   0

if  ≥ 0
(b)  () =

0
if   0
2 if 0 ≤  ≤ 60
so  () = 2(),  ≤ 60.
(c)  () =

0
if   7
4( − 7) if 7 ≤  ≤ 32
so  () = 4( − 7)( − 7),  ≤ 32.
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°
41
42
¤
CHAPTER 1 FUNCTIONS AND MODELS
65. If () = 1  + 1 and () = 2  + 2 , then
( ◦ )() =  (()) =  (2  + 2 ) = 1 (2  + 2 ) + 1 = 1 2  + 1 2 + 1 .
So  ◦  is a linear function with slope 1 2 .
66. If () = 104, then
( ◦ )() = (()) = (104) = 104(104) = (104)2 ,
( ◦  ◦ )() = (( ◦ )()) = ((104)2 ) = 104(104)2  = (104)3 , and
( ◦  ◦  ◦ )() = (( ◦  ◦ )()) = ((104)3 ) = 104(104)3  = (104)4 .
These compositions represent the amount of the investment after 2, 3, and 4 years.
Based on this pattern, when we compose  copies of , we get the formula ( ◦  ◦ · · · ◦ )() = (104) .



 ’s
67. (a) By examining the variable terms in  and , we deduce that we must square  to get the terms 42 and 4 in . If we let
 () = 2 + , then ( ◦ )() =  (()) =  (2 + 1) = (2 + 1)2 +  = 42 + 4 + (1 + ). Since
() = 42 + 4 + 7, we must have 1 +  = 7. So  = 6 and  () = 2 + 6.
(b) We need a function  so that  (()) = 3(()) + 5 = (). But
() = 32 + 3 + 2 = 3(2 + ) + 2 = 3(2 +  − 1) + 5, so we see that () = 2 +  − 1.
68. We need a function  so that ( ()) = ( + 4) = () = 4 − 1 = 4( + 4) − 17. So we see that the function  must be
() = 4 − 17.
69. We need to examine (−).
(−) = ( ◦ )(−) = ((−)) =  (()) [because  is even]
= ()
Because (−) = (),  is an even function.
70. (−) =  ((−)) =  (−()). At this point, we can’t simplify the expression, so we might try to find a counterexample to
show that  is not an odd function. Let () = , an odd function, and  () = 2 + . Then () = 2 +  which is neither
even nor odd.
Now suppose  is an odd function. Then  (−()) = − (()) = −(). Hence, (−) = −(), and so  is odd if
both  and  are odd.
Now suppose  is an even function. Then  (−()) =  (()) = (). Hence, (−) = (), and so  is even if  is
odd and  is even.
71. (a) () =  () +  (−)
⇒ (−) =  (−) + (−(−)) =  (−) +  () = (). Since (−) = (),  is an
even function.
(b) () = () −  (−) ⇒ (−) =  (−) −  (−(−)) =  (−) −  () = −[() − (−)] = −().
Since (−) = −(),  is an odd function.
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°
SECTION 1.4
EXPONENTIAL FUNCTIONS
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43
(c) For any function  with domain , define functions  and  as in parts (a) and (b). Then 12  is even, 12  is odd, and we
show that  () = 12 () + 12 ():
1
2 ()
+ 12 () =
1
2
[ () +  (−)] +
1
2
[() − (−)]
= 12 [ () +  (−) +  () −  (−)]
= 12 [2()] =  ()
as desired.
(d)  () = 2 + ( − 3)2 has domain , so we know from part (c) that  () = 12  () + 12  ()  where
() = () +  (−) = 2 + ( − 3)2 + 2− + (− − 3)2
= 2 + 2− + ( − 3)2 + ( + 3)2
() = () −  (−) = 2 + ( − 3)2 − [2− + (− − 3)2 ]
and
= 2 − 2− + ( − 3)2 − ( + 3)2
1.4 Exponential Functions
1. (a)
−26
−26
26
= 2 3 = − 6 = −1
3
4
(2 )
2
1
1
1
(c) √
= √
= √
4
4
4
5
4 · 
 
(e) 3 (3−1 )−2 = 3 3−2 (−1 )−2 =
(f )

6
6

1
1
−
= 6
3
3
(b)
(−3)6
=
96
(d)
3+
3 · 
= +1 = (3+)−(+1) = 2
+1


−3
9
=
3 · 2
5
=
32
9
22 
22 
22 
2 2−(−4) 1−2
2 6 −1
26


=
=
=

=

=
(3−2 )2
32 (−2 )2  2
9−4  2
9
9
9
√
√
√
3
3
3
4
4
4
1
1
√
√
= √
=
= √
=
3
3
3
3
3
108
4 · 27
4 · 27
27
2. (a) √
3
(b) 2723 = (2713 )2 =
√
2
3
27 = 32 = 9
(c) 22 (35 )2 = 22 · 32 (5 )2 = 22 · 910 = 2 · 92+10 = 1812
3
6 · −3
6+(−3)
=
=
3
2
8
8
(d) (2−2 )−3 −3 = 2−3 (−2 )−3 −3 =
332 · 12
= 332+12 · 1 = 32 ·  = 33
−1
 √
√
6
12 (12 )12
12 14
16
(12 )12
 

12−13 14−13
16 −112
√
√
(f ) 3
=
= 13 13 = 

= 
= 112 = 12
=
13
13
13
 
 



()
(e)
3. (a)  () =  ,   0
(b) 
(c) (0 ∞)
(d) See Figures 4(c), 4(b), and 4(a), respectively.
4. (a) The number  is the value of  such that the slope of the tangent line at  = 0 on the graph of  =  is exactly 1.
(b)  ≈ 271828
(c)  () = 
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CHAPTER 1
FUNCTIONS AND MODELS
5. All of these graphs approach 0 as  → −∞, all of them pass through the point
(0 1), and all of them are increasing and approach ∞ as  → ∞. The larger the
base, the faster the function increases for   0, and the faster it approaches 0 as
 → −∞.
Note: The notation “ → ∞” can be thought of as “ becomes large” at this point.
More details on this notation are given in Chapter 2.
6. The graph of − is the reflection of the graph of  about the ­axis, and the
graph of 8− is the reflection of that of 8 about the ­axis. The graph of 8
increases more quickly than that of  for   0, and approaches 0 faster
as  → −∞.
7. The functions with base greater than 1 (3 and 10 ) are increasing, while those
with base less than 1
 1 
3
and

 
1 
10
are decreasing. The graph of
reflection of that of 3 about the ­axis, and the graph of

1
10

 1 
3
is the
is the reflection of
that of 10 about the ­axis. The graph of 10 increases more quickly than that of
3 for   0, and approaches 0 faster as  → −∞.
8. Each of the graphs approaches ∞ as  → −∞, and each approaches 0 as
 → ∞. The smaller the base, the faster the function grows as  → −∞, and
the faster it approaches 0 as  → ∞.
9. We start with the graph of  = 3 (Figure 15) and shift
1 unit upward to get the graph of  () = 3 + 1.
 
(Figure 3) and stretch vertically by a factor of 2 to obtain the graph of  = 2 12 . Then
 
we shift the graph 3 units downward to get the graph of () = 2 12 − 3.
10. We start with the graph of  =
 1 
2
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°
SECTION 1.4
EXPONENTIAL FUNCTIONS
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45
11. We start with the graph of  =  (Figure 15) and reflect about the y­axis to get the graph of  = − . Then we reflect the
graph about the x­axis to get the graph of  = −− .
12. We start with the graph of  = 4 (Figure 3) and shift
2 units to the left to get the graph of  = 4+2 .
13. We start with the graph of  =  (Figure 15) and reflect about the ­axis to get the graph of  = − . Then we compress
the graph vertically by a factor of 2 to obtain the graph of  = 12 − and then reflect about the ­axis to get the graph
of  = − 12 − . Finally, we shift the graph one unit upward to get the graph of  = 1 − 12 − .
14. We start with the graph of  =  (Figure 15) and
reflect the portion of the graph in the first quadrant
about the ­axis to obtain the graph of  = || .
15. (a) To find the equation of the graph that results from shifting the graph of  =  two units downward, we subtract 2 from the
original function to get  =  − 2.
(b) To find the equation of the graph that results from shifting the graph of  =  two units to the right, we replace  with
 − 2 in the original function to get  = −2 .
(c) To find the equation of the graph that results from reflecting the graph of  =  about the x­axis, we multiply the original
function by −1 to get  = − .
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CHAPTER 1
FUNCTIONS AND MODELS
(d) To find the equation of the graph that results from reflecting the graph of  =  about the y­axis, we replace  with − in
the original function to get  = − .
(e) To find the equation of the graph that results from reflecting the graph of  =  about the x­axis and then about the y­axis,
we first multiply the original function by −1 (to get  = − ) and then replace  with − in this equation to
get  = −− .
16. (a) This reflection consists of first reflecting the graph about the ­axis (giving the graph with equation  = − )
and then shifting this graph 2 · 4 = 8 units upward. So the equation is  = − + 8.
(b) This reflection consists of first reflecting the graph about the ­axis (giving the graph with equation  = − )
and then shifting this graph 2 · 2 = 4 units to the right. So the equation is  = −(−4) .
2
17. (a) The denominator is zero when 1 − 1− = 0
⇔
2
1− = 1
⇔
1 − 2 = 0
⇔
 = ±1. Thus,
2
the function () =
1 − 
has domain { |  6= ±1} = (−∞ −1) ∪ (−1 1) ∪ (1 ∞).
1 − 1−2
(b) The denominator is never equal to zero, so the function  () =
18. (a) The function () =
1+
has domain , or (−∞ ∞).
cos 

√

 
10 − 100 has domain  | 10 − 100 ≥ 0 =  | 10 ≥ 102 = { |  ≥ 2} = [2 ∞).
(b) The sine and exponential functions have domain , so () = sin( − 1) also has domain .
19. Use  =  with the points (1 6) and (3 24).
4 = 2
⇒  = 2 [since   0] and  =

20. Use  =  with the points (−1 3) and 1


the point 1 43 , we get
4
3
= 1
⇒
4
3
4
3


 = 6
and 24 = 3
6 = 1
6
2
⇒ 24 =
 
6 3


⇒
= 3. The function is  () = 3 · 2 .

. From the point (−1 3), we have 3 = −1 , hence  = 3. Using this and
= (3) ⇒
4
9
= 2
⇒ =
2
3
[since   0] and  = 3( 23 ) = 2. The
function is () = 2( 23 ) .
21. If  () = 5 , then


 

5 5 − 1
5+ − 5
5 5 − 5
 ( + ) −  ()
5 −1
=
=
=
= 5
.





22. Suppose the month is February. Your payment on the 28th day would be 228−1 = 227 = 134,217,728 cents, or
$1,342,177.28. Clearly, the second method of payment results in a larger amount for any month.
23. 2 ft = 24 in,  (24) = 242 in = 576 in = 48 ft.
(24) = 224 in = 224 (12 · 5280) mi ≈ 265 mi
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°
SECTION 1.4
EXPONENTIAL FUNCTIONS
¤
47
24. We see from the graphs that for  less than about 18, () = 5   () = 5 , and then near the point (18 171) the curves
intersect. Then ()  () from  ≈ 18 until  = 5. At (5 3125) there is another point of intersection, and for   5 we
see that ()  (). In fact,  increases much more rapidly than  beyond that point.
25. The graph of  finally surpasses that of  at  ≈ 358.
26. We graph  =  and  = 1,000,000,000 and determine where
 = 1 × 109 . This seems to be true at  ≈ 20723, so   1 × 109
for   20723.
27. (a)
(b) Using a graphing calculator, we obtain the exponential
curve () = 3689301(106614) .
(c) Using the TRACE and zooming in, we find that the bacteria count
doubles from 37 to 74 in about 1087 hours.
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°
48
¤
CHAPTER 1
FUNCTIONS AND MODELS
28. Let  = 0 correspond to 1900 to get the model  =  , where   808498 and   101269. To estimate the population in
1925, let  = 25 to obtain   111 million. To predict the population in 2020, let  = 120 to obtain   367 million.
29. (a) Three hours represents 6 doubling periods (one doubling period is 30 minutes). Thus, 500 · 26 = 32,000.
(b) In  hours, there will be 2 doubling periods. The initial population is 500,
so the population  at time  is  = 500 · 22 .
(c)  =
40
60
=
2
3
⇒  = 500 · 22(23) ≈ 1260
(d) We graph 1 = 500 · 22 and 2 = 100,000. The two curves intersect at
 ≈ 382, so the population reaches 100,000 in about 382 hours.
30. (a) Let  be the initial population. Since 18 years is 3 doubling periods,  · 23 = 600
⇒ =
600
= 75. The initial
8
squirrel popluation was 75.
(b) A period of  years corresponds to 6 doubling periods, so the expected squirrel population  years after introduction
is  = 75 · 26 .
(c) Ten years from now will be 18 + 10 = 28 years from introduction. The population is estimated to be
 = 75 · 2286 ≈ 1905 squirrels.
31. Half of 760 RNA copies per mL, corresponding to  = 1, is 380 RNA copies per mL. Using the graph of  in Figure 11, we
estimate that it takes about 35 additional days for the patient’s viral load to decrease to 38 RNA copies per mL.
 1 15
32. (a) The exponential decay model has the form () = 
2
, where  is the
number of hours after midnight and () is the BAC. We are given that
 15
.
(0) = 014, so  = 014, and the model is () = 014 12
(b) From the graph, we estimate that the BAC is 008 gdL when
 ≈ 12 hours.
33.
From the graph, it appears that  is an odd function ( is undefined for  = 0).
To prove this, we must show that  (−) = − ().
1
1 − 1 1
1 − (−1)
1 − 1
1 − 1(−)

=
=
·
=
 (−) =
1
1
1 + 1(−)
1 + (−1)
1 + 1
1 + 1 

1 − 1
=−
= − ()
1 + 1
so  is an odd function.
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°
SECTION 1.5
34. We’ll start with  = −1 and graph  () =
INVERSE FUNCTIONS AND LOGARITHMS
1
for  = 01, 1, and 5.
1 + 
From the graph, we see that there is a horizontal asymptote  = 0 as  → −∞


and a horizontal asymptote  = 1 as  → ∞. If  = 1, the y­intercept is 0 12 .
As  gets smaller (close to 0), the graph of  moves left. As  gets larger, the graph
of  moves right.
As  changes from −1 to 0, the graph of  is stretched horizontally. As 
changes through large negative values, the graph of  is compressed horizontally.
(This takes care of negatives values of .)
If  is positive, the graph of  is reflected through the y­axis.
Last, if  = 0, the graph of  is the horizontal line  = 1(1 + ).
35. We graph the function  () =
 
(
+ − ) for  = 1, 2, and 5. Because
2
 (0) = , the y­intercept is , so the y­intercept moves upward as  increases.
Notice that the graph also widens, becoming flatter near the y­axis as  increases.
1.5 Inverse Functions and Logarithms
1. (a) See Definition 1.
(b) It must pass the Horizontal Line Test.
2. (a)  −1 () = 
⇔  () =  for any  in . The domain of  −1 is  and the range of  −1 is .
(b) See the steps in Box 5.
(c) Reflect the graph of  about the line  = .
3.  is not one­to­one because 2 6= 6, but  (2) = 20 =  (6).
4.  is one­to­one because it never takes on the same value twice.
5. We could draw a horizontal line that intersects the graph in more than one point. Thus, by the Horizontal Line Test, the
function is not one­to­one.
6. No horizontal line intersects the graph more than once. Thus, by the Horizontal Line Test, the function is one­to­one.
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°
¤
49
50
¤
CHAPTER 1
FUNCTIONS AND MODELS
7. No horizontal line intersects the graph more than once. Thus, by the Horizontal Line Test, the function is one­to­one.
8. We could draw a horizontal line that intersects the graph in more than one point. Thus, by the Horizontal Line Test, the
function is not one­to­one.
9. The graph of  () = 2 − 3 is a line with slope 2. It passes the Horizontal Line Test, so  is one­to­one.
Algebraic solution: If 1 6= 2 , then 21 6= 22
⇒ 21 − 3 6= 22 − 3 ⇒  (1 ) 6=  (2 ), so  is one­to­one.
10. The graph of  () = 4 − 16 is symmetric with respect to the ­axis. Pick any ­values equidistant from 0 to find two equal
function values. For example,  (−1) = −15 and (1) = −15, so  is not one­to­one.
11. No horizontal line intersects the graph of () = 3 + 4 more than once. Thus, by the Horizontal Line Test, the function is
one­to­one.
Algebraic solution: If 1 6= 2 , then 31 6= 32
12. The graph of () =
13. () = 1 − sin .
⇒ 31 + 4 6= 32 + 4 ⇒ (1 ) 6= (2 ), so  is one­to­one.
√
3
 passes the Horizontal Line Test, so  is one­to­one.
(0) = 1 and () = 1, so  is not one­to­one.
14. The graph of  () = 4 − 1 passes the Horizontal Line Test when  is restricted to the interval [0,10], so  is one­to­one.
15. A football will attain every height  up to its maximum height twice: once on the way up, and again on the way down.
Thus, even if 1 does not equal 2 ,  (1 ) may equal  (2 ), so  is not 1­1.
16.  is not 1­1 because eventually we all stop growing and therefore, there are two times at which we have the same height.
17. (a) Since  is 1­1,  (6) = 17
⇔  −1 (17) = 6.
(b) Since  is 1­1,  −1 (3) = 2 ⇔  (2) = 3.
18. First, we must determine  such that  () = 3. By inspection, we see that if  = 1, then  (1) = 3. Since  is 1­1 ( is an
increasing function), it has an inverse, and  −1 (3) = 1. If  is a 1­1 function, then  ( −1 ()) = , so  ( −1 (2)) = 2.
19. First, we must determine  such that () = 4. By inspection, we see that if  = 0, then () = 4. Since  is 1­1 ( is an
increasing function), it has an inverse, and −1 (4) = 0.
20. (a)  is 1­1 because it passes the Horizontal Line Test.
(b) Domain of  = [−3 3] = Range of  −1 . Range of  = [−1 3] = Domain of  −1 .
(c) Since (0) = 2,  −1 (2) = 0.
(d) Since (−17) ≈ 0,  −1 (0) ≈ −17.
21. We solve  =
5
(
9
− 32) for  :
9

5
=  − 32 ⇒  = 95  + 32. This gives us a formula for the inverse function, that
is, the Fahrenheit temperature  as a function of the Celsius temperature .  ≥ −45967 ⇒
9

5
9
5
+ 32 ≥ −45967 ⇒
≥ −49167 ⇒  ≥ −27315, the domain of the inverse function.
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°
SECTION 1.5
0
1 −  2 2
22.  = 
2
2
= 02
2


⇒ 1−
⇒
2
2
= 1 − 02
2


INVERSE FUNCTIONS AND LOGARITHMS
¤
51



20
2
2
2
⇒  =  1 − 02 .
⇒  = 1− 2


This formula gives us the speed  of the particle in terms of its mass , that is,  =  −1 ().
23. First note that  () = 1 − 2 ,  ≥ 0, is one­to­one. We first write  = 1 − 2 ,  ≥ 0, and solve for :
2 = 1 −  ⇒  =
√
 −1 () = 1 − .
√
√
1 −  (since  ≥ 0). Interchanging  and  gives  = 1 − , so the inverse function is
24. Completing the square, we have () = 2 − 2 = (2 − 2 + 1) − 1 = ( − 1)2 − 1 and, with the restriction  ≥ 1,
√
 is one­to­one. We write  = ( − 1)2 − 1,  ≥ 1, and solve for :  − 1 =  + 1 (since  ≥ 1 ⇔  − 1 ≥ 0),
√
√
√
so  = 1 +  + 1. Interchanging  and  gives  = 1 +  + 1, so −1 () = 1 +  + 1.
25. First write  = () = 2 +
√
√
 + 1 and note that  ≥ 2. Solve for :  − 2 =  + 1 ⇒ ( − 2)2 =  + 1 ⇒
 = ( − 2)2 − 1 ( ≥ 2). Interchanging  and  gives  = ( − 2)2 − 1 so −1 () = ( − 2)2 − 1 with domain  ≥ 2.
26. We write  = () =
5 + 3 = 6 − 7
so −1 () =
6 − 3
and solve for : (5 + 7) = 6 − 3 ⇒ 5 + 7 = 6 − 3 ⇒
5 + 7
⇒ (5 + 3) = 6 − 7
⇒ =
6 − 7
6 − 7
. Interchanging  and  gives  =
,
5 + 3
5 + 3
6 − 7
.
5 + 3
27. We solve  = 1− for : ln  = ln 1−
function  = 1 − ln .
⇒ ln  = 1 −  ⇒  = 1 − ln . Interchanging  and  gives the inverse
28. We solve  = 3 ln( − 2) for : 3 = ln( − 2)
⇒ 3 =  − 2 ⇒  = 2 + 3 . Interchanging  and  gives the
inverse function  = 2 + 3 .

29. We solve  = 2 +
5
√

√
3
3
 for : 5  = 2 +  ⇒
gives the inverse function  =
30. We solve  =
3
√
5
−2 .
1 − −
for : (1 + − ) = 1 − −
1 + −
− (1 + ) = 1 − 
⇒ − =
1−
1+

3
√

3
 = 5  − 2 ⇒  = 5  − 2 . Interchanging  and 
⇒  + − = 1 − −
⇒ − = ln
1−
1+
⇒  = − ln
⇒ − + − = 1 − 
1−
or, equivalently,
1+

−1
1+
1+
1−
 = ln
. Interchanging  and  gives the inverse function  = ln
.
= ln
1+
1−
1−
31.  =  () =
√
2 − 3
.
4 + 3 ( ≥ 0) ⇒  2 = 4 + 3 ⇒  =
4
Interchange  and :  =
2 − 3
2 − 3
. So  −1 () =
( ≥ 0). From
4
4
the graph, we see that  and  −1 are reflections about the line  = .
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°
⇒
52
¤
CHAPTER 1
FUNCTIONS AND MODELS
32.  =  () = 1 + −
⇒ − =  − 1 ⇒ − = ln( − 1) ⇒
 = − ln( − 1). Interchange  and :  = − ln( − 1).
So  −1 () = − ln( − 1). From the graph, we see that  and  −1 are
reflections about the line  = .
33. Reflect the graph of  about the line  = . The points (−1 −2), (1 −1),
(2 2), and (3 3) on  are reflected to (−2 −1), (−1 1), (2 2), and (3 3)
on  −1 .
34. Reflect the graph of  about the line  = .
35. (a)  =  () =
√
1 − 2
(0 ≤  ≤ 1 and note that  ≥ 0) ⇒

⇒ 2 = 1 −  2 ⇒  = 1 −  2 . So
 2 = 1 − 2
√
 −1 () = 1 − 2 , 0 ≤  ≤ 1. We see that  −1 and  are the same
function.
(b) The graph of  is the portion of the circle 2 +  2 = 1 with 0 ≤  ≤ 1 and
0 ≤  ≤ 1 (quarter­circle in the first quadrant). The graph of  is symmetric
with respect to the line  = , so its reflection about  =  is itself, that is,
 −1 =  .
36. (a)  = () =
√
3
1 − 3
 3 = 1 − 3 ⇒ 3 = 1 −  3 ⇒

√
 = 3 1 −  3 . So  −1 () = 3 1 − 3 . We see that  and −1 are the
⇒
same function.
(b) The graph of  is symmetric with respect to the line  = , so its reflection
about  =  is itself, that is,  −1 = .
37. (a) It is defined as the inverse of the exponential function with base , that is, log  = 
(b) (0 ∞)
(c) 
(d) See Figure 11.
⇔  = .
38. (a) The natural logarithm is the logarithm with base , denoted ln .
(b) The common logarithm is the logarithm with base 10, denoted log .
(c) See Figure 13.
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°
SECTION 1.5
39. (a) log3 81 = log3 34 = 4
40. (a) ln
(b) log3
1
= ln −2 = −2
2
41. (a) log2 30 − log2 15 = log2
(b) ln

30
15


1
81

INVERSE FUNCTIONS AND LOGARITHMS
= log3 3−4 = −4
√
 = ln 12 =
(c) log9 3 = log9 912 =
1
2


50
= ln(50 ) = 50
(c) ln ln 
1
2
= log2 2 = 1
(b) log3 10 − log3 5 − log3 18 = log3

10
5


2
18

104
4
5 · 104

= log5 5−4 = −4
− log3 18 = log3 2 − log3 18 = log3
= log3
 
1
9
= log3 3−2 = −2
(c) 2 log5 100 − 4 log5 50 = log5 1002 − log5 504 = log5
(b) −2 ln 5 = ln 5

43. (a) log10 2  3  = log10 2 + log10  3 + log10 

= 4 ln  −
1
2
= 4 ln  −
1
[ln(
2
= 4 ln  −
1
2
= 5−2 =
ln( − 2)
[Law 3]
1
2
[Laws 1 and 2]
1
2
= ln 3 + ln  − ln( − 3)




(b) log2 (3 + 1) 3 ( − 3)2 = log2 (3 + 1) + log2 3 ( − 3)2
= log2 (3 + 1) + log2 ( − 3)23
= log2 (3 + 1) +
1
3
= ln(3) = 3
[Law 1]
= 12 [ln 3 + ln  − ln( − 3)]
45. (a) log10 20 −
3)
(c) ln(ln 
1
25
[Law 3]

12


1
3
3
3
= ln
= ln
−3
−3
2
−3
1
2

[Law 2]
+ 2) + ln( − 2)]
1
2
= log5
[Law 3]
ln[( + 2)( − 2)]
ln( + 2) −

[Law 1]
= 2 log10  + 3 log10  + log10 


4
(b) ln √
= ln 4 − ln(2 − 4)12
2 − 4
44. (a) ln
1002
504
−2
3
42. (a) 3 ln 2 = ln 2 = 23 = 8


2
3
log2 ( − 3)
[Law 1]
[Law 3]
log10 1000 = log10 20 − log10 100013 = log10 20 − log10
 
= log10 20 − log10 10 = log10 20
= log10 2
10
(b) ln  − 2 ln  + 3 ln  = ln  − ln 2 + ln 3 = ln
√
3
1000

3
3
+
ln

=
ln
2
2
46. (a) 3 ln( − 2) − ln(2 − 5 + 6) + 2 ln( − 3) = ln( − 2)3 − ln [( − 2)( − 3)] + ln( − 3)2


( − 2)3 ( − 3)2
= ln
= ln[( − 2)2 ( − 3)]
( − 2)( − 3)
  
 
(b)  log  −  log  + log  = log  − log   + log  = log

47. (a) log5 10 =
ln 10
≈ 1430677
ln 5
(b) log15 12 =
ln 12
≈ 0917600
ln 15
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°
¤
53
54
¤
CHAPTER 1
48. (a) log3 12 =
FUNCTIONS AND MODELS
ln 12
≈ 2261860
ln 3
(b) log12 6 =
49. To graph these functions, we use log15  =
ln 6
≈ 0721057
ln 12
ln 
ln 
and log50  =
.
ln 15
ln 50
These graphs all approach −∞ as  → 0+ , and they all pass through the
point (1 0). Also, they are all increasing, and all approach ∞ as  → ∞.
The functions with larger bases increase extremely slowly, and the ones with
smaller bases do so somewhat more quickly. The functions with large bases
approach the ­axis more closely as  → 0+ .
50. We see that the graph of ln  is the reflection of the graph of  about the
line  = , and that the graph of log8  is the reflection of the graph of 8
about the same line. The graph of 8 increases more quickly than that of  .
Also note that log8  → ∞ as  → ∞ more slowly than ln .
51. 3 ft = 36 in, so we need  such that log2  = 36
68,719,476,736 in ·
⇔  = 236 = 68,719,476,736. In miles, this is
1 ft
1 mi
·
≈ 1,084,5877 mi.
12 in 5280 ft
52.
From the graphs, we see that  () = 01  () = ln  for approximately 0    306, and then ()  () for
306    343 × 1015 (approximately). At that point, the graph of  finally surpasses the graph of  for good.
53. (a) Shift the graph of  = log10  five units to the left to
obtain the graph of  = log10 ( + 5). Note the vertical
(b) Reflect the graph of  = ln  about the ­axis to obtain
the graph of  = − ln .
asymptote of  = −5.
 = log10 
 = log10 ( + 5)
 = ln 
 = − ln 
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°
SECTION 1.5
54. (a) Reflect the graph of  = ln  about the ­axis to obtain
INVERSE FUNCTIONS AND LOGARITHMS
¤
(b) Reflect the portion of the graph of  = ln  to the right
the graph of  = ln (−).
of the ­axis about the ­axis. The graph of  = ln ||
is that reflection in addition to the original portion.
 = ln 
 = ln (−)
 = ln 
 = ln ||
55. (a) The domain of  () = ln  + 2 is   0 and the range is .
(b)  = 0 ⇒ ln  + 2 = 0 ⇒ ln  = −2 ⇒  = −2
(c) We shift the graph of  = ln  two units upward.
56. (a) The domain of  () = ln( − 1) − 1 is   1 and the range is .
(b)  = 0 ⇒ ln( − 1) − 1 = 0 ⇒ ln( − 1) = 1 ⇒
 − 1 = 1
⇒ =+1
(c) We shift the graph of  = ln  one unit to the right and one unit downward.
57. (a) ln(4 + 2) = 3
⇒ ln(4+2) = 3
⇒ 4 + 2 = 3
⇒ 4 = 3 − 2 ⇒  = 14 (3 − 2) ≈ 4521
(b) 2−3 = 12 ⇒ ln 2−3 = ln 12 ⇒ 2 − 3 = ln 12 ⇒ 2 = 3 + ln 12 ⇒  = 12 (3 + ln 12) ≈ 2742
58. (a) log2 (2 −  − 1) = 2
⇒ 2 −  − 1 = 22 = 4 ⇒ 2 −  − 5 = 0 ⇒

√
1 ± (−1)2 − 4(1)(−5)
1 ± 21
=
.
=
2(1)
2
√
√
1 − 21
1 + 21
Solutions are 1 =
≈ −1791 and 2 =
≈ 2791.
2
2
(b) 1 + 4+1 = 20 ⇒ 4+1 = 19 ⇒ ln 4+1 = ln 19 ⇒ 4 + 1 = ln 19 ⇒ 4 = −1 + ln 19 ⇒
 = 14 (−1 + ln 19) ≈ 0486
59. (a) ln  + ln( − 1) = 0
2
⇒ ln[( − 1)] = 0 ⇒ ln[ −] = 0 ⇒ 2 −  = 1 ⇒ 2 −  − 1 = 0. The

√
√
1 ± (−1)2 − 4(1)(−1)
1± 5
1− 5
=
, but we note that ln
is undefined because
quadratic formula gives  =
2(1)
2
2
√
√
1+ 5
1− 5
 0. Thus,  =
≈ 1618.
2
2
(b) 51−2 = 9 ⇒ ln 51−2 = ln 9 ⇒ (1 − 2) ln 5 = ln 9 ⇒ 1 − 2 =
60. (a) ln(ln ) = 0
⇒ ln(ln ) = 0
ln 9
ln 5
⇒ =
1
ln 9
−
≈ −0183
2
2 ln 5
⇒ ln  = 1 ⇒  =  ≈ 2718
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°
55
56
¤
(b)
CHAPTER 1
FUNCTIONS AND MODELS
60
= 4 ⇒ 60 = 4(1 + − ) ⇒ 15 = 1 + −
1 + −
⇒ 14 = −
⇒ ln 14 = ln −
⇒
ln 14 = − ⇒  = − ln 14 ≈ −2639
61. (a) ln   0
⇒   0
is 0    1.
⇒   1. Since the domain of  () = ln  is   0, the solution of the original inequality
(b)   5 ⇒ ln   ln 5 ⇒   ln 5
62. (a) 1  3−1  2
1
3

1
(1
3
⇒ ln 1  3 − 1  ln 2 ⇒ 0  3 − 1  ln 2 ⇒ 1  3  1 + ln 2 ⇒
+ ln 2)
(b) 1 − 2 ln   3 ⇒ −2 ln   2 ⇒ ln   −1 ⇒   −1
63. (a) We must have  − 3  0
⇔   3 ⇔   ln 3. Thus, the domain of  () = ln( − 3) is (ln 3 ∞).
(b)  = ln( − 3) ⇒  =  − 3 ⇒  =  + 3 ⇒  = ln( + 3), so  −1 () = ln( + 3).
Now  + 3  0 ⇒   −3, which is true for any real , so the domain of  −1 is .
64. (a) By (9), ln 300 = 300 and ln(300 ) = 300.
(b) A calculator gives ln 300 = 300 and an error message for ln(300 ) because 300 is larger than most calculators can
evaluate.
65. We see that the graph of  =  () =
Enter  =
√
3 + 2 +  + 1 is increasing, so  is 1­1.

 3 +  2 +  + 1 and use your CAS to solve the equation for . You
will likely get two (irrelevant) solutions involving imaginary expressions, as well
as one which can be simplified to
√
√ 
√
3 √
 =  −1 () = − 64 3  − 272 + 20 − 3  + 272 − 20 + 3 2
√ √
1  23 − 8 − 2 13
3 274 − 402 + 16 or, equivalently,
,
6
2 13
√
where  = 1082 + 12 48 − 1202 + 814 − 80.
where  = 3
66. (a) Depending on the software used, solving  =  6 +  4 for  may give six solutions of the form  = ±








−2 sin  2 sin
+
 −2 cos
+
3
3
3
3

√ √

3
+
( ≥ 0) is  = 3  − 1 with  = 2 sin
3
 4
.
valid for  ∈ 0 27
∈

6

and  = sin−1

− 1, where

27 − 2
. The inverse for  = 6 + 4
2



, but because the domain of  is 0
3
If we solve  =  6 +  4 for  using Maple, we get the two real solutions ±
where  = 108 + 12
4

is 27
∞ .
√ √
3

3
4
27

, this expression is only
√  13 23
(
− 2 13 + 4)
6 
,
13
6

√ 
3  (27 − 4), and the inverse for  = 6 + 4 ( ≥ 0) is the positive solution, whose domain
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
[continued]
SECTION 1.5
INVERSE FUNCTIONS AND LOGARITHMS
Mathematica also gives two real solutions, equivalent to those of Maple.
√ 

√
6 √
3
The positive one is
413 + 2 3 2−13 − 2 , where
6
√ √ √
 = −2 + 27 + 3 3  27 − 4. Although this expression also has domain

4
 ∞ , Mathematica is mysteriously able to plot the solution for all  ≥ 0.
27
67. (a)  =  () = 100 · 23

= 23
100
⇒
⇒ log2
Formula, we can write this as  =  −1 () = 3 ·
  

=
100
3
¤
(b)
⇒  = 3 log2
  
. Using the Change of Base
100
ln(100)
. This function tells us how long it will take to obtain
ln 2
 bacteria (given the number ).




ln 50,000
ln 500
100
=3
≈ 269 hours
ln 2
ln 2
(b)  = 50,000 ⇒  =  −1 (50,000) = 3 ·


= 1 − − ⇒ − = 1 −
⇒
0
0







− = ln 1 −
⇒  = − ln 1 −
. This formula gives the time (in seconds) needed after a discharge to

0
0
68. (a) We write  = 0 (1 − − ) and solve for :
obtain a given charge .


090
= −50 ln(01) ≈ 1151 seconds. It will take
(b) We set  = 090 and  = 50 to get  = −50 ln 1 −
0
approximately 115 seconds—just shy of two minutes—to recharge the capacitors to 90% of capacity.
69. (a) cos −1 (−1) =  because cos  = −1 and  is in the interval [0 ] (the range of cos−1 ).
(b) sin−1 (05) =
√
70. (a) tan−1 3 =

6

3
because sin 6 = 05 and

6
√
3 and

3
because tan 3 =


is in the interval − 2  2 (the range of sin−1 ).


is in the interval − 2  2 (the range of tan−1 ).




(b) arctan(−1) = − 4 because tan − 4 = −1 and − 4 is in the interval − 2  2 (the range of arctan).
√
71. (a) csc −1 2 =
(b) arcsin 1 =

4
because csc 4 =
√
2 and
because sin 2 = 1 and

2

√

2

4
 


(the range of csc−1 ).
is in 0 2 ∪  3
2


is in − 2  2 (the range of arcsin).


√
72. (a) sin −1 (−1 2 ) = − 4 because sin − 4 = −1 2 and − 4 is in − 2 
(b) cos−1
√

32 =
 √ 
73. (a) cot−1 − 3 =
(b) sec−1 2 =

3

6
5
6
because cos 6 =
√
32 and

6
√
because cot 5
= − 3 and
6
because sec 3 = 2 and


3
√ 
is in [0 ].
5
6

2

.
is in (0 ) (the range of cot−1 ).
 


(the range of sec−1 ).
is in 0 2 ∪  3
2


√

74. (a) arcsin(sin(54)) = arcsin −1 2 = − 4 because sin − 4 = −1 2 and − 4 is in − 2 

2

.
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°
57
58
¤
CHAPTER 1
FUNCTIONS AND MODELS
5
[see the figure].
(b) Let  = sin−1 13



5
cos 2 sin−1 13
= cos 2 = cos2  − sin2 
 2  5 2
− 13 = 144
−
= 12
13
169
75. Let  = sin−1 . Then − 2 ≤  ≤

2
25
169
=
119
169
⇒ cos  ≥ 0, so cos(sin−1 ) = cos  =

√
1 − sin2  = 1 − 2 .
76. Let  = sin−1 . Then sin  = , so from the triangle (which
illustrates the case   0), we see that

.
tan(sin−1 ) = tan  = √
1 − 2
77. Let  = tan−1 . Then tan  = , so from the triangle (which
illustrates the case   0), we see that

.
sin(tan−1 ) = sin  = √
1 + 2
78. Let  = arccos . Then cos  = , so from the triangle (which
illustrates the case   0), we see that
sin(2 arccos ) = sin 2 = 2 sin  cos 
√
√
= 2( 1 − 2 )() = 2 1 − 2
79.
The graph of sin−1  is the reflection of the graph of
sin  about the line  = .
80.
The graph of tan−1  is the reflection of the graph of
tan  about the line  = .
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°
CHAPTER 1 REVIEW
¤
59
81. () = sin−1 (3 + 1).

 

Domain () = { | −1 ≤ 3 + 1 ≤ 1} = { | −2 ≤ 3 ≤ 0} =  | − 23 ≤  ≤ 0 = − 23  0 .
 


Range () =  | − 2 ≤  ≤ 2 = − 2  2 .


82. (a)  () = sin sin−1 
Since one function undoes what the other one does, we get the
identity function,  = , on the restricted domain −1 ≤  ≤ 1.
(b) () = sin−1 (sin )
This is similar to part (a), but with domain .
Equations for  on intervals of the form
 

− 2 +  2 +  , for any integer , can be
found using () = (−1)  + (−1)+1 .
The sine function is monotonic on each of these intervals, and hence, so is  (but in a linear fashion).
83. (a) If the point ( ) is on the graph of  = (), then the point ( −  ) is that point shifted  units to the left. Since 
is 1­1, the point ( ) is on the graph of  =  −1 () and the point corresponding to ( −  ) on the graph of  is
(  − ) on the graph of  −1 . Thus, the curve’s reflection is shifted down the same number of units as the curve itself is
shifted to the left. So an expression for the inverse function is  −1 () =  −1 () − .
(b) If we compress (or stretch) a curve horizontally, the curve’s reflection in the line  =  is compressed (or stretched)
vertically by the same factor. Using this geometric principle, we see that the inverse of () = () can be expressed as
−1 () = (1)  −1 ().
1 Review
1. False.
Let  () = 2 ,  = −1, and  = 1. Then  ( + ) = (−1 + 1)2 = 02 = 0, but
 () + () = (−1)2 + 12 = 2 6= 0 =  ( + ).
2. False.
Let  () = 2 . Then  (−2) = 4 =  (2), but −2 6= 2.
3. False.
Let  () = 2 . Then  (3) = (3)2 = 92 and 3 () = 32 . So  (3) 6= 3 ().
4. True.
The inverse function  −1 of a one­to­one function  is defined by  −1 () =  ⇔  () = .
5. True.
See the Vertical Line Test.
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°
60
¤
CHAPTER 1 FUNCTIONS AND MODELS
6. False.
Let  () = 2 and () = 2. Then ( ◦ )() = (()) =  (2) = (2)2 = 42 and
( ◦ )() = ( ()) = (2 ) = 22 . So  ◦  6=  ◦  .
√
3
. But 1() = 13 , which is not equal to  −1 ().
7. False.
Let  () = 3 . Then  is one­to­one and  −1 () =
8. True.
We can divide by  since  6= 0 for every .
9. True.
The function ln  is an increasing function on (0 ∞).
10. False.
Let  = . Then (ln )6 = (ln )6 = 16 = 1, but 6 ln  = 6 ln  = 6 · 1 = 6 6= 1 = (ln )6 . What is true, however,
is that ln(6 ) = 6 ln  for   0.
11. False.
12. False.
13. False.
14. False.
ln 2
2 ln 

2
ln 
=
=
= 2 and ln = ln
= ln  = 1, so in general the statement
ln 
ln 
ln 



is false. What is true, however, is that ln = ln  − ln .



−1
It is true that tan 3
is − 2  2 , we must have tan−1 (−1) = − 4 .
4 = −1, but since the range of tan
Let  = 2 and  = . Then
For example, tan−1 20 is defined; sin−1 20 and cos−1 20 are not.
For example, if  = −3, then

√
(−3)2 = 9 = 3, not −3.
1. (a) When  = 2,  ≈ 27. Thus,  (2) ≈ 27.
(b)  () = 3 ⇒  ≈ 23, 56
(c) The domain of  is −6 ≤  ≤ 6, or [−6 6].
(d) The range of  is −4 ≤  ≤ 4, or [−4 4].
(e)  is increasing on [−4 4], that is, on −4 ≤  ≤ 4.
(f )  is not one­to­one because it fails the Horizontal Line Test.
(g)  is odd because its graph is symmetric about the origin.
2. (a) When  = 2,  = 3. Thus, (2) = 3.
(b)  is one­to­one because it passes the Horizontal Line Test.
(c) When  = 2,  ≈ 02. So −1 (2) ≈ 02.
(d) The range of  is [−1 35], which is the same as the domain of  −1 .
(e) We reflect the graph of  through the line  =  to obtain the graph of  −1 .
3.  () = 2 − 2 + 3, so  ( + ) = ( + )2 − 2( + ) + 3 = 2 + 2 + 2 − 2 − 2 + 3, and
(2 + 2 + 2 − 2 − 2 + 3) − (2 − 2 + 3)
(2 +  − 2)
 ( + ) − ()
=
=
= 2 +  − 2.



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°
CHAPTER 1 REVIEW
¤
4. There will be some yield with no fertilizer, increasing yields with increasing
fertilizer use, a leveling­off of yields at some point, and disaster with too
much fertilizer use.
5.  () = 2(3 − 1).
 


Domain: 3 − 1 6= 0 ⇒ 3 6= 1 ⇒  6= 13 .  = −∞ 13 ∪ 13  ∞
Range:
all reals except 0 ( = 0 is the horizontal asymptote for  .)
 = (−∞ 0) ∪ (0 ∞)
6. () =
√
16 − 4 .
Domain: 16 − 4 ≥ 0 ⇒ 4 ≤ 16 ⇒ || ≤
√
Range:  ≥ 0 and  ≤ 16 ⇒ 0 ≤  ≤ 4.
√
4
16 ⇒ || ≤ 2.  = [−2 2]
 = [0 4]
7. () = ln( + 6).
Domain:  + 6  0 ⇒   −6.  = (−6 ∞)
Range:
 + 6  0, so ln( + 6) takes on all real numbers and, hence, the range is .
 = (−∞ ∞)
8.  =  () = 3 + cos 2.
Domain: .  = (−∞ ∞)
Range:
−1 ≤ cos 2 ≤ 1 ⇒ 2 ≤ 3 + cos 2 ≤ 4 ⇒ 2 ≤  ≤ 4.
 = [2 4]
9. (a) To obtain the graph of  =  () + 5, we shift the graph of  =  () 5 units upward.
(b) To obtain the graph of  =  ( + 5), we shift the graph of  =  () 5 units to the left.
(c) To obtain the graph of  = 1 + 2 (), we stretch the graph of  =  () vertically by a factor of 2, and then shift the
resulting graph 1 unit upward.
(d) To obtain the graph of  =  ( − 2) − 2, we shift the graph of  =  () 2 units to the right (for the “−2” inside the
parentheses), and then shift the resulting graph 2 units downward.
(e) To obtain the graph of  = − (), we reflect the graph of  =  () about the ­axis.
(f ) To obtain the graph of  =  −1 (), we reflect the graph of  = () about the line  =  (assuming  is one–to­one).
10. (a) To obtain the graph of  =  ( − 8), we shift the
graph of  =  () right 8 units.
(b) To obtain the graph of  = − (), we reflect the
graph of  =  () about the ­axis.
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CHAPTER 1 FUNCTIONS AND MODELS
(c) To obtain the graph of  = 2 −  (), we reflect the
(d) To obtain the graph of  = 12  () − 1, we shrink the
graph of  =  () about the ­axis, and then shift the
graph of  =  () by a factor of 2, and then shift the
resulting graph 2 units upward.
resulting graph 1 unit downward.
(e) To obtain the graph of  =  −1 (), we reflect the
graph of  =  () about the line  = .
(f ) To obtain the graph of  =  −1 ( + 3), we reflect the
graph of  =  () about the line  =  [see part (e)],
and then shift the resulting graph left 3 units.
11.  () = 3 + 2. Start with the graph of  = 3 and
shift 2 units upward.
13.  =
√
√
 + 2. Start with the graph of  =  and shift
2 units to the left.
12.  () = ( − 3)2 . Start with the graph of  = 2 and
shift 3 units to the right.
14.  = ln( + 5). Start with the graph of  = ln  and
shift 5 units to the left.
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°
CHAPTER 1 REVIEW
¤
63
15. () = 1 + cos 2. Start with the graph of  = cos , compress horizontally by a factor of 2, and then shift 1 unit upward.
16. () = − + 2. Start with the graph of  =  , reflect about the x­axis, and then shift 2 units upward.
17. () = 1 + 05 . Start with the graph of  = 05 =
18.  () =

 1 
2
and shift 1 unit upward.
if   0
−
 − 1 if  ≥ 0
On (−∞ 0), graph  = − (the line with slope −1 and ­intercept 0)
with open endpoint (0 0).
On [0 ∞), graph  =  − 1 (the graph of  =  shifted 1 unit downward)
with closed endpoint (0 0).
19. (a)  () = 25 − 32 + 2
⇒  (−) = 2(−)5 − 3 (−)2 + 2 = −25 − 32 + 2. Since (−) 6=  () and
 (−) 6= − (),  is neither even nor odd.
(b)  () = 3 − 7
2
(c)  () = −
⇒  (−) = (−)3 − (−)7 = −3 + 7 = −(3 − 7 ) = − (), so  is odd.
2
2
⇒  (−) = −(−) = − =  (), so  is even.
(d)  () = 1 + sin  ⇒  (−) = 1 + sin(−) = 1 − sin . Now  (−) 6=  () and  (−) 6= − (), so  is neither
even nor odd.
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CHAPTER 1 FUNCTIONS AND MODELS
(e)  () = 1 − cos 2 ⇒  (−) = 1 − cos [2(−)] = 1 − cos(−2) = 1 − cos 2 =  (), so  is even.
(f )  () = ( + 1)2 = 2 + 2 + 1. Now  (−) = (−)2 + 2(−) + 1 = 2 − 2 + 1. Since  (−) 6=  () and
 (−) 6= − (),  is neither even nor odd.
0−2
= −2, and an equation is  − 0 = −2( + 1) or,
−1 + 2
√
equivalently,  = −2 − 2. The circle has equation 2 +  2 = 1; the top half has equation  = 1 − 2 (we have solved for

−2 − 2 if −2 ≤  ≤ −1
.
positive ). Thus,  () = √
1 − 2 if −1   ≤ 1
20. For the line segment from (−2 2) to (−1 0), the slope is
21.  () = ln ,
 = (0 ∞); () = 2 − 9,  = .
(a) ( ◦ )() =  (()) = (2 − 9) = ln(2 − 9).
Domain: 2 − 9  0 ⇒ 2  9 ⇒ ||  3 ⇒  ∈ (−∞ −3) ∪ (3 ∞)
(b) ( ◦ )() = ( ()) = (ln ) = (ln )2 − 9. Domain:   0, or (0 ∞)
(c) ( ◦  )() = ( ()) =  (ln ) = ln ln . Domain: ln   0 ⇒   0 = 1, or (1 ∞)
(d) ( ◦ )() = (()) = (2 − 9) = (2 − 9)2 − 9. Domain:  ∈ , or (−∞ ∞)
22. Let () =  +
√
√
1
, () = , and  () = 1. Then ( ◦  ◦ )() = 
√ =  ().
+ 
More than one model appears to be plausible. Your choice of model depends
23.
on whether you think medical advances will keep increasing life expectancy, or
if there is bound to be a natural leveling­off of life expectancy. A linear model,
 = 02441 − 4133960, gives us an estimate of 821 years for the
year 2030.
24. (a) Let  denote the number of toaster ovens produced in one week and
 the associated cost. Using the points (1000 9000) and
(1500 12,000), we get an equation of a line:
 − 9000 =
12,000 − 9000
( − 1000) ⇒
1500 − 1000
 = 6 ( − 1000) + 9000 ⇒  = 6 + 3000.
(b) The slope of 6 means that each additional toaster oven produced adds $6 to the weekly production cost.
(c) The ­intercept of 3000 represents the overhead cost —the cost incurred without producing anything.
25. The value of  for which  () = 2 + 4 equals 6 will be  −1 (6). To solve 2 + 4 = 6, we either observe that letting  = 1
gives us equality, or we graph 1 = 2 + 4 and 2 = 6 to find the intersection at  = 1. Since  (1) = 6,  −1 (6) = 1.
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°
¤
CHAPTER 1 REVIEW
26. We write  =
2 + 3
and solve for : (1 − 5) = 2 + 3 ⇒  − 5 = 2 + 3 ⇒  − 3 = 2 + 5
1 − 5
 − 3 = (2 + 5) ⇒  =
√
27. (a) ln   + 1 = ln  + ln
−3
−3
−3
. Interchanging  and  gives  =
, so  −1 () =
.
2 + 5
2 + 5
2 + 5
√
+1
[Law 1]
= ln  + ln( + 1)12 = ln  +
(b) log2

28. (a)
2
1
2
log2 ( + 1) −
2
12
ln  − 2 ln( + 1) = ln 
1
2
[Law 3]
ln( + 1)
 2
12
2 + 1
 +1
= log2
−1
−1
 2

 +1
1
= log2
2
−1


= 12 log2 (2 + 1) − log2 ( − 1)
=
1
2
1
2
[Law 3]
[Law 2]
log2 ( − 1)
√

− ln( + 1) = ln 2
( + 1)2
2
2
(b) ln( − 3) + ln( + 3) − 2 ln(2 − 9) = ln[( − 3)( + 3)] − ln(2 − 9)2
= ln
( − 3)( + 3)
2 − 9
1
=
ln
= ln 2
(2 − 9)2
(2 − 9)2
 −9
2
29. (a) 2 ln 5 = ln 5 = 52 = 25
(b) log6 4 + log6 54 = log6 (4 · 54) = log6 216 = log6 63 = 3
(c) Let  = arcsin 45 , so sin  = 45 . Draw a right triangle with angle  as shown
in the figure. By the Pythagorean Theorem, the adjacent side has length 3,


4
4
opp
= .
and tan arcsin
= tan  =
5
adj
3
30. (a) ln
1
= ln −3 = −3
3
(b) sin(tan−1 1) = sin
√

2
=
4
2
−3
(c) 10−3 log 4 = 10log 4
31. 2 = 3
1
1
=
43
64
⇒ ln(2 ) = ln 3 ⇒ 2 = ln 3 ⇒  =
2
32. ln 2 = 5

= 4−3 =
33.  = 10
⇒ ln  = 5
⇒ 2 = 5
1
2
ln 3 ≈ 0549
√
⇒  = ± 5 ≈ ±12182
 
⇒ ln  = ln 10 ⇒  = ln 10 ⇒ ln  = ln(ln 10) ⇒  = ln(ln 10) ≈ 0834
34. cos−1  = 2
⇒ cos(cos−1 ) = cos 2 ⇒  = cos 2 ≈ −0416
35. tan−1 (32 ) =

4
⇒ tan(tan−1 (32 )) = tan

4
⇒ 32 = 1 ⇒ 2 =
1
3
1
⇒  = ± √ ≈ ±0577
3
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CHAPTER 1 FUNCTIONS AND MODELS
36. ln  − 1 = ln(5 + ) − 4

= −3
5+
⇒ ln  − ln(5 + ) = −4 + 1 ⇒ ln
⇒  = 5−3 + −3
or, multiplying by
⇒  − −3 = 5−3

= −3 ⇒ ln((5+)) = −3
5+
⇒ (1 − −3 ) = 5−3
⇒ =
3
5
≈ 0262.
, we have  = 3
3
 −1
⇒
5−3
1 − −3
37. (a) The half­life of the virus with this treatment is eight days and 24 days is 3 half­lives, so the viral load after 24 days is
 3
   
520 12 12 12 = 520 12 = 65 RNA copies/mL.
 8
.
(b) The viral load is halved every 8 days, so  () = 520 12
 8
(c)  =  () = 520 12
 = ( ) − 8 log2

⇒
 8

= 12
= 2−8
520
⇒ log2


520




= log2 2−8 = −
8
⇒


. This gives the number of days  needed after treatment begins for the viral load to be reduced
520
to  RNA copiesmL.

(d) Using the function from part (c), we have (20) = −8 log2
38. (a)
20
520

= −8 ·
1
ln 26
≈ 376 days.
ln 2
The population would reach 900 in about 44 years.
100,000
⇒ 100 + 900 − = 100,000 ⇒ 900 − = 100,000 − 100 ⇒
100 + 900−






100,000 − 100
1000 − 
1000 − 
9
⇒ − = ln
⇒  = − ln
, or ln
;
=
900
9
9
1000 − 
(b)  =
−
this is the time required for the population to reach a given number  .

(c)  = 900 ⇒  = ln
9 · 900
1000 − 900

= ln 81 ≈ 44 years, as in part (a).
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°
PRINCIPLES OF PROBLEM SOLVING
By using the area formula for a triangle,
(base) (height), in two ways, we see that
√
4
1
. Since 42 +  2 = 2 ,  = 2 − 16, and
(4)() = 12 ()(), so  =
2

√
4 2 − 16
=
.

1.
1
2
 2 − 100
. The 100 came from
2
4 times the area of the triangle. In this case, the area of the triangle is
Refer to Example 1, where we obtained  =
2.
1
()(12)
2
= 6. Thus,  =
2  + 24 =  2


3. 4 − | + 1|  = 3
 2 − 4 (6)
2
⇒ 2  =  2 − 24 ⇒
⇒  (2 + 24) =  2
⇒ =
2
.
2 + 24
⇒ 4 − | + 1| = −3 (Equation 1) or 4 − | + 1| = 3 (Equation 2).
If  + 1  0, or   −1, then | + 1| = −( + 1) = − − 1. If  + 1 ≥ 0, or  ≥ −1, then | + 1| =  + 1.
We thus consider two cases,   −1 (Case 1) and  ≥ −1 (Case 2), for each of Equations 1 and 2.
Equation 1, Case 1:
4 − | + 1| = −3 ⇒ 4 − (− − 1) = −3 ⇒ 5 + 1 = −3 ⇒
5 = −4 ⇒  = − 45 which is invalid since   −1.
Equation 1, Case 2:
4 − | + 1| = −3 ⇒ 4 − ( − 1) = −3 ⇒ 3 − 1 = −3 ⇒
3 = −2 ⇒  = − 23 , which is valid since  ≥ −1.
Equation 2, Case 1:
4 − | + 1| = 3 ⇒ 4 − (− − 1) = 3 ⇒ 5 + 1 = 3 ⇒
5 = 2 ⇒  = 25 , which is invalid since   −1
Equation 2, Case 2:
4 − | + 1| = 3 ⇒ 4 − ( + 1) = 3 ⇒ 3 − 1 = 3 ⇒
3 = 4 ⇒  = 43 , which is valid since  ≥ −1.


Thus, the solution set is − 23  43 .
4. | − 1| =

 − 1 if  ≥ 1
1 −  if   1
and
| − 3| =

 − 3 if  ≥ 3
3 −  if   3
Therefore, we consider the three cases   1, 1 ≤   3, and  ≥ 3.
If   1, we must have 1 −  − (3 −  ) ≥ 5 ⇔ 0 ≥ 7, which is false.
If 1 ≤   3, we must have  − 1 − (3 − ) ≥ 5 ⇔  ≥ 92 , which is false because   3.
If  ≥ 3, we must have  − 1 − ( − 3) ≥ 5 ⇔ 2 ≥ 5, which is false.
All three cases lead to falsehoods, so the inequality has no solution.
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CHAPTER 1 PRINCIPLES OF PROBLEM SOLVING




5.  () = 2 − 4 || + 3. If  ≥ 0, then  () = 2 − 4 + 3 = |( − 1)( − 3)|.
Case (i):
If 0   ≤ 1, then  () = 2 − 4 + 3.
Case (ii): If 1   ≤ 3, then  () = −(2 − 4 + 3) = −2 + 4 − 3.
Case (iii): If   3, then  () = 2 − 4 + 3.
This enables us to sketch the graph for  ≥ 0. Then we use the fact that  is an even
function to reflect this part of the graph about the ­axis to obtain the entire graph. Or, we
could consider also the cases   −3, −3 ≤   −1, and −1 ≤   0.




6. () = 2 − 1 − 2 − 4.
 2

 − 1 =
 2
 − 1 if || ≥ 1
1 − 2
if ||  1


and 2 − 4 =
 2
 − 4 if || ≥ 2
if ||  2
4 − 2
So for 0 ≤ ||  1, () = 1 − 2 − (4 − 2 ) = −3, for
1 ≤ ||  2, () = 2 − 1 − (4 − 2 ) = 2 2 − 5, and for
|| ≥ 2, () = 2 − 1 − (2 − 4) = 3
7. Remember that || =  if  ≥ 0 and that || = − if   0. Thus,
 + || =

2 if  ≥ 0
0
and
if   0
 + || =

2
0
if   0
if  ≥ 0
We will consider the equation  + || =  + || in four cases.
(1)  ≥ 0  ≥ 0
2 = 2
(2)  ≥ 0,   0
=
(3)   0,  ≥ 0
2 = 0
0 = 2
=0
0=
(4)   0   0
0=0
Case 1 gives us the line  =  with nonnegative  and .
Case 2 gives us the portion of the ­axis with  negative.
Case 3 gives us the portion of the ­axis with  negative.
Case 4 gives us the entire third quadrant.
8. | − | + || − || ≤ 2
[call this inequality ()]
Case (i):
 ≥  ≥ 0.
Then ()
⇔
−+− ≤ 2
⇔
− ≤1
Case (ii):
 ≥  ≥ 0.
Then ()
⇔
−+− ≤ 2
⇔
0 ≤ 2 (true).
Case (iii):
 ≥ 0 and  ≤ 0.
Then ()
⇔
−++ ≤ 2
⇔
Case (iv):
 ≤ 0 and  ≥ 0.
Then ()
⇔
−−− ≤ 2
Case (v):
 ≤  ≤ 0.
Then ()
⇔
Case (vi):
 ≤  ≤ 0.
Then ()
⇔
⇔
 ≥  − 1.
2 ≤ 2
⇔
 ≤ 1.
⇔
−2 ≤ 2
⇔
 ≥ −1.
−−+ ≤ 2
⇔
0 ≤ 2 (true).
−−+ ≤ 2
⇔
−≤1
⇔
 ≤  + 1.
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°
CHAPTER 1 PRINCIPLES OF PROBLEM SOLVING
Note: Instead of considering cases (iv), (v), and (vi), we could have noted that
the region is unchanged if  and  are replaced by − and −, so the region is
symmetric about the origin. Therefore, we need only draw cases (i), (ii), and
(iii), and rotate through 180◦ about the origin.
9. (a) To sketch the graph of  () = max { 1},
we first graph () =  and () = 1 on the
same coordinate axes. Then create the graph of
 by plotting the largest ­value of  and  for
every value of .
(b)
(c)


On the TI­84 Plus, max is found under LIST, then under MATH. To graph  () = max 2  2 +  2 −  , use
Y = max(2  max(2 +  2 − )).
10. (a) If max { 2} = 1, then either  = 1 and 2 ≤ 1   ≤ 1 and
2 = 1. Thus, we obtain the set of points such that  = 1 and

 ≤ 12 [a vertical line with highest point (1 12 )   ≤ 1 and


 = 12 a horizontal line with rightmost point (1 12 ) .
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CHAPTER 1 PRINCIPLES OF PROBLEM SOLVING
(b) The graph of max{ 2} = 1 is shown in part (a), and the graph of
max{ 2} = −1 can be found in a similar manner. The
inequalities in −1 ≤ max{ 2} ≤ 1 give us all the points on or
inside the boundaries.
(c) max{  2 } = 1 ⇔  = 1 and  2 ≤ 1 [−1 ≤  ≤ 1]
  ≤ 1 and  2 = 1 [ = ±1].
11.
1
1
1
1
1
1
+
+
=
+
+
log 
log 
log 
log2 
log3 
log5 
log 2
log 3
log 5
[Change of Base formula]
=
log 3
log 5
log 2
+
+
log  log 
log 
=
log(2 · 3 · 5)
log 2 + log 3 + log 5
=
log 
log 
[Law 1 of Lograithms]
log 30
1
1
=
=
log 
log 
log30 
log 30
[Change of Base formula]
=
12. We note that −1 ≤ sin  ≤ 1 for all . Thus, any solution of sin  = 100 will have −1 ≤ 100 ≤ 1, or
−100 ≤  ≤ 100. We next observe that the period of sin  is 2, and sin  takes on each value in its range, except for −1
and 1, twice each cycle. We observe that  = 0 is a solution. Finally, we note that because sin  and 100 are both odd
functions, every solution on 0 ≤  ≤ 100 gives us a corresponding solution on −100 ≤  ≤ 0.
1002 ≈ 159, so there 15 full cycles of sin  on [0 100] Each of the 15 intervals [0 2], [2 4],   , [28 30] must
contain two solutions of sin  = 100, as the graph of sin  will intersect the graph of 100 twice each cycle. We must
be careful with the next (16th) interval [30 32], because 100 is contained in the interval. A graph of 1 = sin  and
2 = 100 over this interval reveals that two intersections occur within the interval with  ≤ 100
Thus, there are 16 · 2 = 32 solutions of sin  = 100 on [0 100]. There are also 32 solutions of the equation on
[−100 0]. Being careful to not count the solution  = 0 twice, we find that there are 32 + 32 − 1 = 63 solutions of the
equation sin  = 100.
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CHAPTER 1 PRINCIPLES OF PROBLEM SOLVING
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71
13. By rearranging terms, we write the given expression as

 




199
2
198
99
101
100
200
sin
+ sin
+ sin
+ sin
+ · · · + sin
+ sin
+ sin
+ sin
100
100
100
100
100
100
100
100
Each grouped sum is of the form sin  + sin  with  +  = 2 so that
from the product­to­sum identity sin  cos  =
 with
1
2
2
+
=
= . We now derive a useful identity
2
2
[sin( + ) + sin( − )]. If in this identity we replace  with
+
and
2
−
, we have
2
 −   1  + 
 + 
 + 
 − 
 −   1
cos
=
sin
+
+ sin
−
= (sin  + sin )
sin
2
2
2
2
2
2
2
2
Multiplication of the left and right members of this equality by 2 gives the sum­to­product identity
 +  
 + 
sin  + sin  = 2 sin
cos
. Using this sum­to­product identity, we have each grouped sum equal to 0, since
2
2
 +  
100
200
= sin  = 0 is always a factor of the right side. Since sin
= sin  = 0 and sin
= sin 2 = 0, the
sin
2
100
100
sum of the given expression is 0.
Another approach: Since the sine function is odd, sin(−) = − sin . Because the period of the sine function is 2, we have
sin(− + 2) = − sin . Multiplying each side by −1 and rearranging, we have sin  = − sin(2 − ). This means that




 
199
2
2
198
sin
= − sin 2 −
= − sin
, sin
= − sin 2 −
= sin
, and so on, until we have
100
100
100
100
100
100


99
99
101
sin
= − sin 2 −
= − sin
. As before we rearrange terms to write the given expression as
100
100
100

 




199
2
198
99
101
100
200
sin
+ sin
+ sin
+ sin
+ · · · + sin
+ sin
+ sin
+ sin
100
100
100
100
100
100
100
100
Each sum in parentheses is 0 since the two terms are opposites, and the last two terms again reduce to sin  and sin 2,
respectively, each also 0. Thus, the value of the original expression is 0.

√




√
− − 2 + 1
√
(−)2 + 1 = ln − + 2 + 1 ·
− − 2 + 1








2 − 2 + 1
−1
1
√
√
√
= ln
= ln
= ln
− − 2 + 1
− − 2 + 1
 + 2 + 1
√
√




= ln 1 − ln  + 2 + 1 = − ln  + 2 − 1 = − ()
14. (a)  (−) = ln − +




√


(b)  = ln  + 2 + 1 . Interchanging  and , we get  = ln  +  2 + 1
⇒  =  +  2 + 1 ⇒
 −  =

 2 + 1 ⇒ 2 − 2 +  2 =  2 + 1 ⇒ 2 − 1 = 2
⇒ =
2 − 1
=  −1 ().
2
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CHAPTER 1 PRINCIPLES OF PROBLEM SOLVING


15. ln 2 − 2 − 2 ≤ 0
⇒ 2 − 2 − 2 ≤ 0 = 1 ⇒ 2 − 2 − 3 ≤ 0 ⇒ ( − 3)( + 1) ≤ 0 ⇒  ∈ [−1 3].
Since the argument must be positive, 2 − 2 − 2  0 ⇒
√ 
√ 



− 1− 3 − 1+ 3  0 ⇒
√
√  
√ 
√  



 ∈ −∞ 1 − 3 ∪ 1 + 3 ∞ . The intersection of these intervals is −1 1 − 3 ∪ 1 + 3 3 .
16. Assume that log2 5 is rational. Then log2 5 =  for natural numbers  and . Changing to exponential form gives us
2 = 5 and then raising both sides to the th power gives 2 = 5 . But 2 is even and 5 is odd. We have arrived at a
contradiction, so we conclude that our hypothesis, that log2 5 is rational, is false. Thus, log2 5 is irrational.
17. Let  be the distance traveled on each half of the trip. Let 1 and 2 be the times taken for the first and second halves of the trip.
For the first half of the trip we have 1 = 30 and for the second half we have 2 = 60. Thus, the average speed for the
entire trip is
60
2
120
120
2
total distance
·
=
=
=
= 40. The average speed for the entire trip
=
 60

total time
1 + 2
2 + 
3
+
30 60
is 40 mih.
18. Let () = sin , () = , and () = . Then the left­hand side of the equation is
[ ◦ ( + )]() = sin( + ) = sin 2 = 2 sin  cos ; and the right­hand side is
( ◦ )() + ( ◦ )() = sin  + sin  = 2 sin . The two sides are not equal, so the given statement is false.
19. Let  be the statement that 7 − 1 is divisible by 6
• 1 is true because 71 − 1 = 6 is divisible by 6.
• Assume  is true, that is, 7 − 1 is divisible by 6. In other words, 7 − 1 = 6 for some positive integer . Then
7+1 − 1 = 7 · 7 − 1 = (6 + 1) · 7 − 1 = 42 + 6 = 6(7 + 1), which is divisible by 6, so +1 is true.
• Therefore, by mathematical induction, 7 − 1 is divisible by 6 for every positive integer .
20. Let  be the statement that 1 + 3 + 5 + · · · + (2 − 1) = 2 .
• 1 is true because [2(1) − 1] = 1 = 12 .
• Assume  is true, that is, 1 + 3 + 5 + · · · + (2 − 1) = 2 . Then
1 + 3 + 5 + · · · + (2 − 1) + [2( + 1) − 1] = 1 + 3 + 5 + · · · + (2 − 1) + (2 + 1) = 2 + (2 + 1) = ( + 1)2
which shows that +1 is true.
• Therefore, by mathematical induction, 1 + 3 + 5 + · · · + (2 − 1) = 2 for every positive integer .
21. 0 () = 2 and +1 () = 0 ( ()) for  = 0 1 2    .
   2
1 () = 0 (0 ()) = 0 2 = 2 = 4 , 2 () = 0 (1 ()) = 0 (4 ) = (4 )2 = 8 ,
+1
3 () = 0 (2 ()) = 0 (8 ) = (8 )2 = 16 ,    . Thus, a general formula is  () = 2
.
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CHAPTER 1 PRINCIPLES OF PROBLEM SOLVING
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22. (a) 0 () = 1(2 − ) and +1 = 0 ◦  for  = 0 1 2    .
1 () = 0

1
2−
2 () = 0

2−
3 − 2

=
3 () = 0

3 − 2
4 − 3

=

=
1
1
2−
2−
=
2−
2−
=
,
2(2 − ) − 1
3 − 2
1
3 − 2
3 − 2
=
,
=
2−
2(3 − 2) − (2 − )
4 − 3
2−
3 − 2
4 − 3
1
4 − 3
=
=

3 − 2
2(4 − 3) − (3 − 2)
5 − 4
2−
4 − 3
Thus, we conjecture that the general formula is  () =
 + 1 − 
.
 + 2 − ( + 1)
To prove this, we use the Principle of Mathematical Induction. We have already verified that  is true for  = 1.
Assume that the formula is true for  = ; that is,  () =
+1 () = (0 ◦  )() = 0 ( ()) = 0
=
 + 1 − 
. Then
 + 2 − ( + 1)

 + 1 − 
 + 2 − ( + 1)

=
1
 + 1 − 
2−
 + 2 − ( + 1)
 + 2 − ( + 1)
 + 2 − ( + 1)
=
2 [ + 2 − ( + 1)] − ( + 1 − )
 + 3 − ( + 2)
This shows that the formula for  is true for  =  + 1. Therefore, by mathematical induction, the formula is true for all
positive integers .
(b) From the graph, we can make several observations:
• The values at each fixed  =  keep increasing as  increases.
• The vertical asymptote gets closer to  = 1 as  increases.
• The horizontal asymptote gets closer to  = 1
as  increases.
• The ­intercept for +1 is the value of the
vertical asymptote for  .
• The ­intercept for  is the value of the
horizontal asymptote for +1 .
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°
2
LIMITS AND DERIVATIVES
2.1 The Tangent and Velocity Problems
1. (a) Using  (15 250), we construct the following table:

slope =  

(5 694)
694−250
5−15
= − 444
= −444
10
10 (10 444)
444−250
10−15
= − 194
= −388
5
20 (20 111)
111−250
20−15
= − 139
= −278
5
25 (25 28)
28−250
25−15
30 (30 0)
0−250
30−15
5
= − 222
10 = −222
= − 250
15 = −166
(b) Using the values of  that correspond to the points closest to  ( = 10 and  = 20), we have
−388 + (−278)
= −333
2
(c) From the graph, we can estimate the slope of the
tangent line at  to be
−300
9
= −333.
2. (a) (i) On the interval [0 40], slope =
7398 − 3438
= 99.
40 − 0
(ii) On the interval [10 20], slope =
(iii) On the interval [20 30], slope =
5622 − 4559
= 1063.
20 − 10
6536 − 5622
= 914.
30 − 20
The slopes represent the average number of steps per minute the student walked during the respective time intervals.
(b) Averaging the slopes of the secant lines corresponding to the intervals immediately before and after  = 20, we have
1063 + 914
= 9885
2
The student’s walking pace is approximately 99 steps per minute at 3:20 PM.
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°
75
76
¤
CHAPTER 2
3. (a)  =
LIMITS AND DERIVATIVES
1
,  (2 −1)
1−

(i)
15
(ii)
19
(iii)
199
(iv)
1999
(v)
25
(vi)
21
(vii)
201
(viii)
2001
(b) The slope appears to be 1.
(c) Using  = 1, an equation of the tangent line to the
( 1(1 − ))
 
(15 −2)
2
(199 −1010 101)
1010 101
(25 −0666 667)
0666 667
(201 −0990 099)
0990 099
(19 −1111 111)
1111 111
(1999 −1001 001)
1001 001
(21 −0909 091)
0909 091
(2001 −0999 001)
0999 001
4. (a)  = cos ,  (05 0)

curve at  (2 −1) is  − (−1) = 1( − 2), or
 =  − 3.
(b) The slope appears to be −.

(i)
0
(0 1)
(ii)
04
(04 0309017)
(iii)
049
(049 0031411)
(iv)
0499
(0499 0003142)
(v)
1
(vi)
06
(1 −1)
(vii)
051
(viii)
0501
(06 −0309017)
(051 −0031411)
(0501 −0003142)
 
−2
(c)  − 0 = −( − 05) or  = − + 12 .
(d)
−3090170
−3141076
−3141587
−2
−3090170
−3141076
−3141587
5. (a)  = () = 275 − 162 . At  = 4,  = 275 − 16(4)2 = 19. The average velocity between times 4 and 4 +  is
avg =
(i) 0.1 seconds:


275 − 16(4 + )2 − 19
−128 − 162
(4 + ) − (4)
=
=
= −128 − 16 if  6= 0
(4 + ) − 4


 = 01, avg = −1296 fts
(ii) 0.05 seconds:
 = 005, avg = −1288 fts
(iii) 0.01 seconds:
 = 001, avg = −12816 fts
(b) The instantaneous velocity when  = 4 ( approaches 0) is −128 fts.
6. (a)  = () = 10 − 1862 . At  = 1,  = 10(1) − 186(1)2 = 814. The average velocity between times 1 and 1 +  is
avg


10(1 + ) − 186(1 + )2 − 814
628 − 1862
(1 + ) − (1)
=
=
= 628 − 186, if  6= 0.
=
(1 + ) − 1


(i) [1 2]:  = 1, avg = 442 ms
(iii) [1 11]:  = 01, avg = 6094 ms
(ii) [1 15]:  = 05, avg = 535 ms
(iv) [1 101]:  = 001, avg = 62614 ms
(v) [1 1001]:  = 0001, avg = 627814 ms
(b) The instantaneous velocity when  = 1 ( approaches 0) is 628 ms.
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°
SECTION 2.1
7. (a)
THE TANGENT AND VELOCITY PROBLEMS
(i) On the interval [2 4] , avg =
792 − 206
(4) − (2)
=
= 293 fts.
4−2
2
(ii) On the interval [3 4] , avg =
792 − 465
(4) − (3)
=
= 327 fts.
4−3
1
(iii) On the interval [4 5] , avg =
(5) − (4)
1248 − 792
=
= 456 fts.
5−4
1
(iv) On the interval [4 6] , avg =
1767 − 792
(6) − (4)
=
= 4875 fts.
6−4
2
¤
(b) Using the points (2 16) and (5 105) from the approximate
tangent line, the instantaneous velocity at  = 3 is about
89
105 − 16
=
≈ 297 fts.
5−2
3
8. (a) (i)  = () = 2 sin  + 3 cos . On the interval [1 2], avg =
(ii) On the interval [1 11], avg =
3 − (−3)
(2) − (1)
=
= 6 cms.
2−1
1
−3471 − (−3)
(11) − (1)
≈
= −471 cms.
11 − 1
01
(iii) On the interval [1 101], avg =
−30613 − (−3)
(101) − (1)
≈
= −613 cms.
101 − 1
001
(iv) On the interval [1 1001], avg =
−300627 − (−3)
(1001) − (1)
≈
= −627 cms.
1001 − 1
0001
(b) The instantaneous velocity of the particle when  = 1 appears to be about −63 cms.
9. (a) For the curve  = sin(10) and the point  (1 0):


 


2
(2 0)
0
05
(05 0)
15
(15 08660)
17321
06
(06 08660)
14
(14 −04339)
−10847
07
(07 07818)
08
(08 1)
43301
09
(09 −03420)
13
12
11
(13 −08230)
(12 08660)
(11 −02817)
−27433
−28173
 
0
−21651
−26061
−5
34202
As  approaches 1, the slopes do not appear to be approaching any particular value.
(b)
We see that problems with estimation are caused by the frequent
oscillations of the graph. The tangent is so steep at  that we need to
take ­values much closer to 1 in order to get accurate estimates of
its slope.
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°
77
78
¤
CHAPTER 2
LIMITS AND DERIVATIVES
(c) If we choose  = 1001, then the point  is (1001 −00314) and   ≈ −313794. If  = 0999, then  is
(0999 00314) and   = −314422. The average of these slopes is −314108. So we estimate that the slope of the
tangent line at  is about −314.
2.2 The Limit of a Function
1. As  approaches 2,  () approaches 5. [Or, the values of  () can be made as close to 5 as we like by taking  sufficiently
close to 2 (but  6= 2).] Yes, the graph could have a hole at (2 5) and be defined such that  (2) = 3.
2. As  approaches 1 from the left,  () approaches 3; and as  approaches 1 from the right, () approaches 7. No, the limit
does not exist because the left­ and right­hand limits are different.
3. (a) lim  () = ∞ means that the values of  () can be made arbitrarily large (as large as we please) by taking 
→−3
sufficiently close to −3 (but not equal to −3).
(b) lim () = −∞ means that the values of  () can be made arbitrarily large negative by taking  sufficiently close to 4
→4+
through values larger than 4.
4. (a) As  approaches 2 from the left, the values of  () approach 3, so lim  () = 3.
→2−
(b) As  approaches 2 from the right, the values of  () approach 1, so lim () = 1.
→2+
(c) lim  () does not exist since the left­hand limit does not equal the right­hand limit.
→2
(d) When  = 2,  = 3, so  (2) = 3.
(e) As  approaches 4, the values of  () approach 4, so lim () = 4.
→4
(f ) There is no value of  () when  = 4, so  (4) does not exist.
5. (a) As  approaches 1, the values of  () approach 2, so lim () = 2.
→1
(b) As  approaches 3 from the left, the values of  () approach 1, so lim  () = 1.
→3−
(c) As  approaches 3 from the right, the values of  () approach 4, so lim () = 4.
→3+
(d) lim  () does not exist since the left­hand limit does not equal the right­hand limit.
→3
(e) When  = 3,  = 3, so  (3) = 3.
6. (a) () approaches 4 as  approaches −3 from the left, so
lim () = 4.
→−3−
(b) () approaches 4 as  approaches −3 from the right, so lim () = 4.
→−3+
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°
SECTION 2.2
THE LIMIT OF A FUNCTION
¤
79
(c) lim () = 4 because the limits in part (a) and part (b) are equal.
→−3
(d) (−3) is not defined, so it doesn’t exist.
(e) () approaches 1 as  approaches 0 from the left, so lim () = 1.
→0−
(f ) () approaches −1 as  approaches 0 from the right, so lim () = −1.
→0+
(g) lim () does not exist because the limits in part (e) and part (f ) are not equal.
→0
(h) (0) = 1 since the point (0 1) is on the graph of .
(i) Since lim () = 2 and lim () = 2, we have lim () = 2.
→2−
→2
→2+
(j) (2) is not defined, so it doesn’t exist.
(k) () approaches 3 as  approaches 5 from the right, so lim () = 3.
→5+
(l) () does not approach any one number as  approaches 5 from the left, so lim () does not exist.
→5−
7. (a) lim () 6= lim (), so lim () does not exist. However, there is a point on the graph representing (4).
→4−
→4
→4+
Thus,  = 4 satisfies the given description.
(b) lim () = lim (), so lim () exists. However, (5) is not defined. Thus,  = 5 satisfies the given description.
→5−
→5
→5+
(c) From part (a),  = 4 satisfies the given description. Also, lim () and lim () exist, but lim () 6= lim ().
→2−
→2−
→2+
→2+
Thus, lim () does not exist, and  = 2 also satisfies the given description.
→2
(d) lim () = (4), but lim () 6= (4). Thus,  = 4 satisfies the given description.
→4+
→4−
8. (a) lim () = ∞
(b) lim () = −∞
(c) lim () = ∞
(d) lim () = −∞
→−3
→2−
→−1
→2+
(e) The equations of the vertical asymptotes are  = −3,  = −1 and  = 2.
9. (a) lim  () = −∞
(b) lim  () = ∞
(d) lim  () = −∞
(e) lim  () = ∞
→−7
→−3
→6−
(c) lim  () = ∞
→0
→6+
(f ) The equations of the vertical asymptotes are  = −7,  = −3,  = 0, and  = 6.
10.
lim  () = 150 mg and lim  () = 300 mg. These limits show that there is an abrupt change in the amount of drug in
→12−
+
→12
the patient’s bloodstream at  = 12 h. The left­hand limit represents the amount of the drug just before the fourth injection.
The right­hand limit represents the amount of the drug just after the fourth injection.
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°
80
¤
CHAPTER 2
LIMITS AND DERIVATIVES
From the graph of  we see that lim () = 1, but lim  () = −1, so
11.
→0−
→0+
lim () does not exist for  = 0. However, lim  () exists for all other
→
→
values of . Thus, lim () exists for all  in (−∞ 0) ∪ (0 ∞).
→
From the graph of  we see that lim  () = 2, but lim  () = 1, so
12.
→2−
→2+
lim  () does not exist for  = 2. However, lim  () exists for all other
→
→
values of . Thus, lim  () exists for all  in (−∞ 2) ∪ (2 ∞).
→
13. (a) From the graph, lim  () = −1.
→0−
(b) From the graph, lim  () = 1.
→0+
(c) Since lim () 6= lim  (), lim  () does not exist.
→0−
→0
→0+
 () = 
√
1 + −2
14. (a) From the graph, lim  () = −2.
→0−
(b) From the graph, lim  () = 1.
→0+
(c) Since lim () 6= lim  (), lim  () does not exist.
→0−
→0+
→0
 () =
1 − 2
1 + 1
15. lim  () = 3, lim  () = 0,  (1) = 2
→1−
→1+
16. lim  () = 4,
→0
lim  () = 1, lim  () = −3,
→8−
→8+
 (0) = 6,  (8) = −1
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°
SECTION 2.2
17.
lim  () = 0,
THE LIMIT OF A FUNCTION
¤
lim  () = 1, lim  () = 3,
→−1−
→2
→−1+
 (−1) = 2,  (2) = 1
18.
lim  () = 3,
lim  () = 2, lim  () = −1,
→−3−
→3−
→−3+
lim  () = 2,  (−3) = 2, (3) = 0
→3+
19. For  () =

2 − 3
:
2 − 9
 ()

 ()
31
0508 197
29
0491 525
305
0504 132
295
0495 798
301
0500 832
299
0499 165
3001
0500 083
2999
0499 917
30001
0500 008
29999
0499 992
20. For  () =

2 − 3
:
2 − 9
 ()
−25
−35
−59
−305
−29
−299
−299
−2999
−29999
21. For  () =


−5
−29
−295
1
2 − 3
= .
→3 2 − 9
2
It appears that lim
−2999
−29,999
 ()
7
−31
31
−301
301
−3001
−30001
61
3001
30,001
5 − 1
:

22364 988
01
6487 213
001
5127 110
0001
5012 521
00001
5001 250
It appears that lim
→0
→−3+
lim  () = ∞, so lim
→−3
→−3−
22. For  () =
 ()
05
It appears that lim  () = −∞ and that

 ()

2 − 3
does not exist.
2 − 9
(2 + )5 − 32
:

 ()
−05
1835 830
05
131312 500
−01
3934 693
01
88410 100
−001
4877 058
001
80804 010
−0001
4987 521
0001
80080 040
−00001
4998 750
00001
80008 000
5 − 1
= 5.

It appears that lim
→0

 ()
−05
48812 500
−001
79203 990
−00001
79992 000
−01
72390 100
−0001
79920 040
(2 + )5 − 32
= 80.

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°
81
82
¤
CHAPTER 2
23. For  () =

LIMITS AND DERIVATIVES
ln  − ln 4
:
−4
 ()

 ()
39
0253 178
41
0246 926
399
0250 313
401
0249 688
3999
0250 031
4001
0249 969
39999
0250 003
40001
0249 997
It appears that lim  () = 025. The graph confirms that result.
→4
24. For  () =
1 + 9
:
1 + 15

 ()
−11
0427 397
−1001
0598 200
−101
0582 008
−10001
0599 820

 ()
−09
0771 405
−0999
0601 800
−099
0617 992
−09999
0600 180
It appears that lim  () = 06. The graph confirms that result.
→−1
25. For  () =
sin 3
:
tan 2

 ()
sin 3
= 15.
tan 2
±01
1457 847
It appears that lim
±001
1499 575
The graph confirms that result.
±0001
1499 996
±00001
1500 000
26. For  () =

→0
5 − 1
:

()
01
1746 189
001
1622 459
0001
1610 734
00001
1609 567

()
−01
1486 601
−0001
1608 143
−001
1596 556
−00001
1609 308
It appears that lim  () ≈ 16094. The graph confirms that result.
→0
27. For  () =  :

 ()
01
0794 328
001
0954 993
0001
0993 116
00001
0999 079
It appears that lim  () = 1.
→0+
The graph confirms that result.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 2.2
THE LIMIT OF A FUNCTION
¤
83
28. For  () = 2 ln :

()
01
It appears that lim () = 0.
−0023 026
001
→0+
−0000 461
0001
The graph confirms that result.
−0000 007
00001
−0000 000
29. lim
+1
= ∞ since the numerator is positive and the denominator approaches 0 from the positive side as  → 5+ .
−5
30. lim
+1
= −∞ since the numerator is positive and the denominator approaches 0 from the negative side as  → 5− .
−5
→5+
→5−
31. lim
→2
2
= ∞ since the numerator is positive and the denominator approaches 0 through positive values as  → 2.
( − 2)2
32. lim
→3−
√

= −∞ since the numerator is positive and the denominator approaches 0 from the negative side as  → 3− .
( − 3)5
√
33. lim ln(  − 1) = −∞ since
→1+
√
 − 1 → 0+ as  → 1+ .
34. lim ln(sin ) = −∞ since sin  → 0+ as  → 0+ .
→0+
35.
lim
→(2)+
1
1
sec  = −∞ since is positive and sec  → −∞ as  → (2)+ .


36. lim  cot  = −∞ since  is positive and cot  → −∞ as  → − .
→ −
37. lim
→1
2 + 2
2 + 2
= lim
= ∞ since the numerator is positive and the denominator approaches 0 through positive
2 − 2 + 1 →1 ( − 1)2
values as  → 1.
38. lim
→3−
2 + 4
2 + 4
= lim
= −∞ since the numerator is positive and the denominator approaches 0
−
− 2 − 3
→3 ( − 3)( + 1)
2
through negative values as  → 3− .
39. lim (ln 2 − −2 ) = −∞ since ln 2 → −∞ and −2 → ∞ as  → 0.
→0
40. lim
→0+


1
1
− ln  = ∞ since → ∞ and ln  → −∞ as  → 0+ .


41. The denominator of  () =
−1
is equal to 0 when  = −2 (and the numerator is not), so  = −2 is the vertical
2 + 4
asymptote of the function.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
84
¤
CHAPTER 2
LIMITS AND DERIVATIVES
42. (a) The denominator of  =
 = 0 and  =
3
2
2 + 1
2 + 1
is equal to zero when
=
2
3 − 2
(3 − 2)
(b)
(and the numerator is not), so  = 0 and  = 15 are
vertical asymptotes of the function.
43. (a)  () =
1
.
3 − 1
From these calculations, it seems that
lim  () = −∞ and lim  () = ∞.
→1−
→1+

05
09
099
0999
09999
099999
 ()
−114
−369
−337
−3337
−33337
−33,3337

15
11
101
1001
10001
100001
 ()
042
302
330
3330
33330
33,3333
(b) If  is slightly smaller than 1, then 3 − 1 will be a negative number close to 0, and the reciprocal of 3 − 1, that is,  (),
will be a negative number with large absolute value. So lim () = −∞.
→1−
If  is slightly larger than 1, then 3 − 1 will be a small positive number, and its reciprocal,  (), will be a large positive
number. So lim  () = ∞.
→1+
(c) It appears from the graph of  that
lim  () = −∞ and lim  () = ∞.
→1−
→1+
44. (a) From the graphs, it seems that lim
→0
cos 2 − cos 
= −15.
2
(b)

±01
−1493 759
±0001
−1499 999
±001
±00001
45. (a) Let () = (1 + )1 .

−0001
−00001
−000001
−0000001
0000001
000001
00001
0001
()
271964
271842
271830
271828
271828
271827
271815
271692
 ()
−1499 938
−1500 000
(b)
It appears that lim (1 + )1 ≈ 271828, which is approximately .
→0
In Section 3.6 we will see that the value of the limit is exactly .
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 2.2
THE LIMIT OF A FUNCTION
¤
85
46. (a)
No, because the calculator­produced graph of  () =  + ln | − 4| looks like an exponential function, but the graph of 
has an infinite discontinuity at  = 4. A second graph, obtained by increasing the numpoints option in Maple, begins to
reveal the discontinuity at  = 4.
(b) There isn’t a single graph that shows all the features of  . Several graphs are needed since  looks like ln | − 4| for large
negative values of  and like  for   5, but yet has the infinite discontiuity at  = 4.
A hand­drawn graph, though distorted, might be better at revealing the main
features of this function.
47. For  () = 2 − (21000):
(a)

1
08
()
0998 000
0638 259
06
04
02
01
005
0358 484
0158 680
0038 851
0008 928
0001 465
It appears that lim  () = 0.
(b)

004
002
001
0005
0003
0001
 ()
0000 572
−0000 614
−0000 907
−0000 978
−0000 993
−0001 000
It appears that lim () = −0001.
→0
→0
48. For () =
tan  − 
:
3
(a)

10
05
01
005
001
0005
()
0557 407 73
0370 419 92
0334 672 09
0333 667 00
0333 346 67
0333 336 67
(b) It seems that lim () = 13 .
→0
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
86
¤
CHAPTER 2
LIMITS AND DERIVATIVES
(c)
Here the values will vary from one

()
0001
00005
00001
000005
0333 333 50
0333 333 44
0333 330 00
0333 336 00
000001
0000001
0333 000 00
0000 000 00
calculator to another. Every calculator will
eventually give false values.
(d) As in part (c), when we take a small enough viewing rectangle we get incorrect output.
There appear to be vertical asymptotes of the curve  = tan(2 sin ) at  ≈ ±090
49.
and  ≈ ±224. To find the exact equations of these asymptotes, we note that the
graph of the tangent function has vertical asymptotes at  =
must have 2 sin  =

2
+ , or equivalently, sin  =

4
+

2
+ . Thus, we

.
2
Since
−1 ≤ sin  ≤ 1, we must have sin  = ± 4 and so  = ± sin−1

4
(corresponding
to  ≈ ±090). Just as 150◦ is the reference angle for 30◦ ,  − sin−1 4 is the reference angle for sin−1 4 . So


 = ±  − sin−1 4 are also equations of vertical asymptotes (corresponding to  ≈ ±224).
50. (a) For any positive integer , if  =
1
1
, then  () = tan = tan() = 0. (Remember that the tangent function has


period .)
(b) For any nonnegative number , if  =
 () = tan
4
, then
(4 + 1)
1
(4 + 1)
= tan
= tan

4


4
+
4
4




= tan  +
= tan = 1
4
4
(c) From part (a),  () = 0 infinitely often as  → 0. From part (b),  () = 1 infinitely often as  → 0. Thus, lim tan
→0
does not exist since  () does not get close to a fixed number as  → 0.

0
. As  → − , 1 −  22 → 0+ , and  → ∞.
2
2
1 −  
51. lim  = lim 
→−
→−
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
1

SECTION 2.3
CALCULATING LIMITS USING THE LIMIT LAWS
¤
87
2.3 Calculating Limits Using the Limit Laws
1. (a) lim [ () + 5()] = lim  () + lim [5()]
→2
→2
→2
= lim  () + 5 lim ()
→2
(b) lim [()]3 =
→2

→2
[Limit Law 1]
[Limit Law 3]
= 4 + 5(−2) = −6
3
lim ()
[Limit Law 6]
(c) lim
→2
→2
= ( −2)3 = −8
(d) lim
→2


 () = lim  ()
→2
=
lim [3 ()]
3 ()
→2
=
()
lim ()
[Limit Law 5]
[Limit Law 7]
√
4=2
(e) Because the limit of the denominator is 0, we can’t use
→2
Limit Law 5. The given limit, lim
3 lim  ()
=
→2
→2
[Limit Law 3]
lim ()
because the denominator approaches 0 while the
→2
=
(f ) lim
→2
()
, does not exist
()
numerator approaches a nonzero number.
3(4)
= −6
−2
lim [() ()]
() ()
→2
=
 ()
lim  ()
[Limit Law 5]
→2
=
lim () · lim ()
→2
→2
lim  ()
[Limit Law 4]
→2
=
−2 · 0
=0
4
2. (a) lim [ () + ()] = lim  () + lim ()
→2
→2
→2
[Limit Law 1]
= −1 + 2
=1
(b) lim  () exists, but lim () does not exist, so we cannot apply Limit Law 2 to lim [ () − ()].
→0
→0
→0
The limit does not exist.
(c) lim [() ()] = lim  () · lim ()
→−1
→−1
→−1
[Limit Law 4]
=1·2
=2
(d) lim  () = 1, but lim () = 0, so we cannot apply Limit Law 5 to lim
→3
→3
Note: lim
→3−
→3
()
 ()
= ∞ since () → 0+ as  → 3− and lim
= −∞ since () → 0− as  → 3+ .
()
→3+ ()
Therefore, the limit does not exist, even as an infinite limit.


(e) lim 2  () = lim 2 · lim  () [Limit Law 4]
→2
 ()
. The limit does not exist.
()
→2
2
→2
= 2 · (−1)
(f )  (−1) + lim () is undefined since  (−1) is
→−1
not defined.
= −4
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
88
¤
CHAPTER 2
LIMITS AND DERIVATIVES
[Limit Law 2]
3. lim (42 − 5) = lim (42 ) − lim (5)
→5
→5
→5
= 4 lim 2 − 5 lim 
[3]
= 4(52 ) − 5(5)
[10, 9]
→5
→5
= 75
4.
lim (23 + 62 − 9) = lim (23 ) + lim (62 ) − lim 9
→−3
→−3
→−3
→−3
[Limits Laws 1 and 2]
= 2 lim 3 + 6 lim 2 − lim 9
[3]
= 2(−3)3 + 6(−3)2 − 9
[10, 8]
→−3
→−3
→−3
= −9
[Limit Law 4]
5. lim ( 2 + 2)(2 3 − 5) = lim ( 2 + 2) · lim (2 3 − 5)
→2
→2
=
=

→2
lim  2 + lim 2
→2

→2


lim 2 3 − lim 5
→2
→2


lim  2 + 2 lim  2 lim  3 − lim 5
→2
→2
→2
→2



= 22 + 2(2) 2(2)3 − 5
[1 and 2]
[3]
[10, 9, and 8]
= (8)(11) = 88
lim (32 + 1)
32 + 1
→7
=
6. lim 2
→7  − 5 + 2
lim (2 − 5 + 2)
[Limit Law 5]
→7
lim 32 + lim 1
=
lim
→7
→7
2 −
→7
lim 5 + lim 2
→7
3 lim 2 + lim 1
=
→7
=
=
7.
lim
→−2
→7
lim 2 − 5 lim  + lim 2
→7
→7
[1 and 2]
→7
[3]
→7
3(72 ) + 1
− 5(7) + 2
[10, 9, and 8]
72
148
37
=
16
4

√
9 − 3 + 22 =
lim (9 − 3 + 22 )
[Limit Law 7]
→−2
=
=

lim 9 − lim 3 + lim 22
[2 and 1]
lim 9 − lim 3 + 2 lim 2
[3]
→−2

→−2
→−2
→−2

9 − (−2)3 + 2(−2)2
√
= 25 = 5
=
→−2
→−2
[8 and 10]
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 2.3


√
√
3
 + 5 (22 − 3) = lim 3  + 5 · lim 22 − 3
8. lim
→3
→3
=
=
=
=

3

3

3
→3


lim  + lim 5 · lim 22 − lim 3
→3
→3
→3


lim  + lim 5 · 2 lim 2 − 3 lim 
→3
→3
→3
89
[7]
lim ( + 5) · lim (22 − 3)
→3
¤
[Limit Law 4]
→3
→3
CALCULATING LIMITS USING THE LIMIT LAWS
→3


√
3
3 + 5 · 2(32 ) − 3(3)
[1 and 2]
[3]
[9, 8, and 10]
= 2 · (18 − 9) = 18
9. lim
→−1

25 − 4
52 + 4
3

3
25 − 4
→−1 52 + 4

 3

lim 25 − 4
→−1

=
lim (52 + 4)
=
[Limit Law 6]
lim
[5]
→−1

=
2 lim 5 − lim 4
→−1
→−1
5 lim 2 + lim 4
→−1

→−1
2(−1)5 − (−1)4
5(−1)2 + 4

3
3
1
= −
=−
9
27
=
3
3

[3, 2, and 1]
[10 and 8]
10. (a) The left­hand side of the equation is not defined for  = 2, but the right­hand side is.
(b) Since the equation holds for all  6= 2, it follows that both sides of the equation approach the same limit as  → 2, just as
in Example 3. Remember that in finding lim  (), we never consider  = .
→
11. lim (3 − 7) = 3(−2) − 7 = −13
→−2


12. lim 8 − 12  = 8 − 12 (6) = 5
→6
13. lim
→4
( − 4)( + 2)
2 − 2 − 8
= lim
= lim ( + 2) = 4 + 2 = 6
→4
→4
−4
−4
14. lim
→−3
−3
3
2 + 3
( + 3)

= lim
= lim
=
=
2 −  − 12 →−3 ( − 4)( + 3) →−3  − 4
−3 − 4
7
15. lim
2 + 5 + 4
does not exist since  − 2 → 0, but 2 + 5 + 4 → 18 as  → 2.
−2
16. lim
2 + 3
( + 3)


= lim
= lim
. The last limit does not exist since lim
= −∞ and
2 −  − 12 →4 ( − 4)( + 3) →4  − 4
→4−  − 4
→2
→4
lim
→4+

= ∞.
−4
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
90
¤
CHAPTER 2
LIMITS AND DERIVATIVES
17. lim
−2 − 3
−5
5
2 −  − 6
( − 3)( + 2)
−3
= lim
= lim
=
=
=
32 + 5 − 2 →−2 (3 − 1)( + 2) →−2 3 − 1
3(−2) − 1
−7
7
18. lim
2(−5) − 1
(2 − 1)( + 5)
−11
11
22 + 9 − 5
2 − 1
= lim
= lim
=
=
=
→−5 ( − 5)( + 5)
→−5  − 5
2 − 25
−5 − 5
−10
10
→−2
→−5
19. Factoring 3 − 27 as the difference of two cubes, we have
lim
→3
32 + 3(3) + 9
( − 3)(2 + 3 + 9)
27
9
3 − 27
2 + 3 + 9
=
lim
=
lim
=
=
= .
→3
→3
2 − 9
( − 3)( + 3)
+3
3+3
6
2
20. Factoring 3 + 1 as the sum of two cubes, we have
lim
→−1
1
1
+1
+1
1
= lim
= lim
=
= .
3 + 1 →−1 ( + 1)(2 −  + 1) →−1 2 −  + 1
(−1)2 − (−1) + 1
3
21. lim
( − 3)2 − 9
( − 6)
2 − 6 + 9 − 9
2 − 6
= lim
= lim
= lim
= lim ( − 6) = 0 − 6 = −6
→0
→0
→0
→0




22. lim
√
√
√
√
9−
9− 3+ 
(9 − )(3 +  )
√ = lim
√ ·
√ = lim
= lim (3 +  ) = 3 + 9 = 6
→9
→9
→9
9−
3− 
3−  3+ 
→0
→9
√
2
√
√
√
9 +  − 32
9+−3
9+−3
9++3
(9 + ) − 9
 = lim √

= lim
·√
= lim √
→0
→0
→0 


9 +  + 3 →0  9 +  + 3
9++3
23. lim
= lim
→0

1
1

1
√
 = lim √
=
=
→0
3+3
6
9++3
9++3
√

√

√
(2 − )  + 2 + 2
−( − 2)  + 2 + 2
2−
2−
+2+2
= lim √
·√
= lim
24. lim √
= lim
√
2
→2
→2
−2
 + 2 − 2 →2  + 2 − 2
 + 2 + 2 →2
+2 −4
 √

√

= lim −(  + 2 + 2) = − 4 + 2 = −4
→2
1
1
1
−
3 = lim 
3 · 3 = lim 3 −  = lim −1 = − 1
→3  − 3
−3
3 →3 3( − 3) →3 3
9
1
25. lim 
→3
−
2 + ( − 2)
1
1
+
(−2 + )−1 + 2−1
2( − 2)
2 + ( − 2)

−
2
2
= lim
= lim
= lim
26. lim
→0
→0
→0
→0 2( − 2)



= lim
→0
27. lim
→0
1
1

1
= lim
=
=−
2( − 2) →0 2( − 2)
2(0 − 2)
4
√
2 √
2
√
√
√
√
√
√
1+ −
1−
1+− 1−
1+− 1−
1++ 1−

√
√
= lim √
= lim
·√
→0


1 +  + 1 −  →0  1 +  + 1 − 
(1 + ) − (1 − )
2
2
 = lim √
 = lim √
√
√
√
= lim √
→0 
→0 
→0
1++ 1−
1++ 1−
1++ 1−
2
2
√ = =1
= √
2
1+ 1
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 2.3
28. lim
→0

1
1
− 2

 +

= lim
→0

1
1
−

( + 1)

= lim
→0
CALCULATING LIMITS USING THE LIMIT LAWS
¤
+1−1
1
1
= lim
=
=1
→0  + 1
( + 1)
0+1
√
√
√
4− 
(4 −  )(4 +  )
16 − 
√
√
= lim
=
lim
→16 16 − 2
→16 (16 − 2 )(4 +
 ) →16 (16 − )(4 +  )
29. lim
= lim
→16
1
1
1
1
√  =
√
=
=

16(8)
128
(4 +  )
16 4 + 16
( − 2)2
( − 2)2
2 − 4 + 4
= lim 2
= lim
4
2
2
→2  − 3 − 4
→2 ( − 4)( + 1)
→2 ( + 2)( − 2)(2 + 1)
30. lim
= lim
→2
31. lim
→0

1
1
√
−

 1+

0
−2
=
=0
( + 2)(2 + 1)
4·5



√
√
√
1− 1+ 1+ 1+
1− 1+
−

 = lim √


√
√
√
= lim
= lim √
→0 
→0
→0 
1+
 +1 1+ 1+
1+ 1+ 1+
−1
−1
1

 = √

 =−
√
√
= lim √
→0
2
1+ 1+ 1+
1+0 1+ 1+0
√
√

√
2 + 9 − 5
2 + 9 + 5
2 + 9 − 5
(2 + 9) − 25
√

√

= lim
32. lim
= lim
→−4
→−4
→−4 ( + 4)
+4
( + 4) 2 + 9 + 5
2 + 9 + 5
( + 4)( − 4)
2 − 16
√
 = lim
√

→−4 ( + 4)
→−4 ( + 4)
2 + 9 + 5
2 + 9 + 5
= lim
−8
4
−4 − 4
−4
=
=−
= √
= lim √
→−4
5+5
5
16 + 9 + 5
2 + 9 + 5
33. lim
→0
( + )3 − 3
(3 + 32  + 32 + 3 ) − 3
32  + 32 + 3
= lim
= lim
→0
→0



= lim
→0
(32 + 3 + 2 )
= lim (32 + 3 + 2 ) = 32
→0

1
1
2 − ( + )2
− 2
2
( + )

( + )2 2
2 − (2 + 2 + 2 )
−(2 + )
= lim
= lim
34. lim
= lim
→0
→0
→0
→0 2 ( + )2


2 ( + )2
= lim
→0
−2
2
−(2 + )
= 2 2 =− 3
2 ( + )2
 ·

(b)
35. (a)
2

≈
lim √
3
1 + 3 − 1
→0

 ()
−0001
−0000 1
−0000 01
−0000 001
0000 001
0000 01
0000 1
0001
0666 166 3
0666 616 7
0666 661 7
0666 666 2
0666 667 2
0666 671 7
0666 716 7
0667 166 3
The limit appears to be
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
2
.
3
91
92
¤
CHAPTER 2
(c) lim
→0

LIMITS AND DERIVATIVES
√

√

√

 1 + 3 + 1
 1 + 3 + 1
1 + 3 + 1

√
= lim
·√
= lim
→0
→0
(1 + 3) − 1
3
1 + 3 − 1
1 + 3 + 1
√

1
lim
1 + 3 + 1
3 →0


1 
=
lim (1 + 3) + lim 1
→0
→0
3


1 
=
lim 1 + 3 lim  + 1
→0
→0
3
[Limit Law 3]
=
=
=
[1 and 7]
[1, 3, and 8]

1 √
1+3·0+1
3
[8 and 9]
2
1
(1 + 1) =
3
3
(b)
36. (a)
√
√
3+− 3
≈ 029
→0

lim

 ()
−0001
−0000 1
−0000 01
−0000 001
0000 001
0000 01
0000 1
0001
0288 699 2
0288 677 5
0288 675 4
0288 675 2
0288 675 1
0288 674 9
0288 672 7
0288 651 1
The limit appears to be approximately 02887.
√ √
√ 
√
(3 + ) − 3
3+− 3
3++ 3
1
√
√  = lim √
√
= lim √
(c) lim
·√
→0
→0 
→0

3++ 3
3++ 3
3++ 3
=
lim 1
→0
√
√
lim 3 +  + lim 3
→0
= 
1
lim (3 + ) +
→0
√
3
1
√
= √
3+0+ 3
=
2
[Limit Laws 5 and 1]
→0
[7 and 8]
[1, 8, and 9]
1
√
3
37. Let () = −2 , () = 2 cos 20 and () = 2 . Then
−1 ≤ cos 20 ≤ 1 ⇒ −2 ≤ 2 cos 20 ≤ 2
⇒  () ≤ () ≤ ().
So since lim  () = lim () = 0, by the Squeeze Theorem we have
→0
→0
lim () = 0.
→0
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 2.3
CALCULATING LIMITS USING THE LIMIT LAWS
¤
93
√
√
√
3 + 2 sin(), and () = 3 + 2 . Then
√
√
√
−1 ≤ sin() ≤ 1 ⇒ − 3 + 2 ≤ 3 + 2 sin() ≤ 3 + 2 ⇒
38. Let () = − 3 + 2 , () =
 () ≤ () ≤ (). So since lim  () = lim () = 0, by the Squeeze Theorem
→0
→0
we have lim () = 0.
→0


39. We have lim (4 − 9) = 4(4) − 9 = 7 and lim 2 − 4 + 7 = 42 − 4(4) + 7 = 7. Since 4 − 9 ≤  () ≤ 2 − 4 + 7
→4
→4
for  ≥ 0, lim  () = 7 by the Squeeze Theorem.
→4
40. We have lim (2) = 2(1) = 2 and lim (4 − 2 + 2) = 14 − 12 + 2 = 2. Since 2 ≤ () ≤ 4 − 2 + 2 for all ,
→1
→1
lim () = 2 by the Squeeze Theorem.
→1
41. −1 ≤ cos(2) ≤ 1


⇒ −4 ≤ 4 cos(2) ≤ 4 . Since lim −4 = 0 and lim 4 = 0, we have
→0


lim 4 cos(2) = 0 by the Squeeze Theorem.
→0
→0
42. −1 ≤ sin() ≤ 1
⇒ −1 ≤ sin() ≤ 1
⇒
√
√
√
√
/ ≤  sin() ≤  . Since lim ( /) = 0 and
→0+
√

√
lim (  ) = 0, we have lim
 sin() = 0 by the Squeeze Theorem.
→0+
→0+
43. | + 4| =
Thus,

+4
−( + 4)
if  + 4 ≥ 0
if  + 4  0
lim (| + 4| − 2) =
→−4+
lim (| + 4| − 2) =
→−4−
=

if  ≥ −4
+4
−( + 4)
lim ( + 4 − 2) =
→−4+
lim (−( + 4) − 2) =
→−4−
if   −4
lim (− + 4) = 4 + 4 = 8 and
→−4+
lim (−3 − 4) = 12 − 4 = 8.
→−4−
The left and right limits are equal, so lim (| + 4| − 2) = 8.
→−4
44. | + 4| =
Thus,
lim

+4
−( + 4)
lim
→−4+
→−4−
if  + 4 ≥ 0
if  + 4  0
=

+4
−( + 4)
if   −4
1
| + 4|
+4
+4
1
= lim
= lim
= lim
= and
2 + 8
2
→−4+ 2 + 8
→−4+ 2( + 4)
→−4+ 2
1
| + 4|
−( + 4)
−( + 4)
−1
= lim
= lim
= lim
=− .
2 + 8
2
→−4− 2 + 8
→−4− 2( + 4)
→−4− 2
The left and right limits are different, so lim
→−4

if  ≥ −4





| + 4|
does not exist.
2 + 8
45. 23 − 2  = 2 (2 − 1) = 2  · |2 − 1| = 2 |2 − 1|
|2 − 1| =

2 − 1
−(2 − 1)
if 2 − 1 ≥ 0
if 2 − 1  0
=

2 − 1
−(2 − 1)
if  ≥ 05
if   05


So 23 − 2  = 2 [−(2 − 1)] for   05.
Thus,
lim
→05−
−1
−1
2 − 1
2 − 1
−1
= lim
= lim
= −4.
=
=
|23 − 2 | →05− 2 [−(2 − 1)] →05− 2
(05)2
025
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
94
¤
CHAPTER 2
LIMITS AND DERIVATIVES
46. Since || = − for   0, we have lim
2 − ||
2 − (−)
2+
= lim
= lim
= lim 1 = 1.
→−2
→−2 2 + 
→−2
2+
2+
47. Since || = − for   0, we have lim

→−2
→0−
1
1
−

||

= lim
→0−

1
1
−

−

= lim
→0−
2
, which does not exist since the

denominator approaches 0 and the numerator does not.
48. Since || =  for   0, we have lim
→0+

1
1
−

||
49. (a)

= lim
→0+

1
1
−



= lim 0 = 0.
→0+
(b) (i) Since sgn  = 1 for   0, lim sgn  = lim 1 = 1.
→0+
→0+
(ii) Since sgn  = −1 for   0, lim sgn  = lim −1 = −1.
→0−
→0−
(iii) Since lim sgn  6= lim sgn , lim sgn  does not exist.
→0−
→0
→0+
(iv) Since |sgn | = 1 for  6= 0, lim |sgn | = lim 1 = 1.
→0
→0

−1 if sin   0


50. (a) () = sgn(sin ) = 0 if sin  = 0


1 if sin   0
(i) lim () = lim sgn(sin ) = 1 since sin  is positive for small positive values of .
→0+
→0+
(ii) lim () = lim sgn(sin ) = −1 since sin  is negative for small negative values of .
→0−
→0−
(iii) lim () does not exist since lim () 6= lim ().
→0
→0−
→0+
(iv) lim () = lim sgn(sin ) = −1 since sin  is negative for values of  slightly greater than .
→ +
→ +
(v) lim () = lim sgn(sin ) = 1 since sin  is positive for values of  slightly less than .
→ −
→ −
(vi) lim () does not exist since lim () 6= lim ().
→
→ −
→ +
(b) The sine function changes sign at every integer multiple of , so the
(c)
signum function equals 1 on one side and −1 on the other side of ,
 an integer. Thus, lim () does not exist for  = ,  an integer.
→
51. (a) (i) lim () = lim
→2+
→2+
( + 3)( − 2)
2 +  − 6
= lim
| − 2|
| − 2|
→2+
= lim
→2+
( + 3)( − 2)
−2
[since  − 2  0 if  → 2+ ]
= lim ( + 3) = 5
→2+
(ii) The solution is similar to the solution in part (i), but now | − 2| = 2 −  since  − 2  0 if  → 2− .
Thus, lim () = lim −( + 3) = −5.
→2−
→2−
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°
SECTION 2.3
(b) Since the right­hand and left­hand limits of  at  = 2
CALCULATING LIMITS USING THE LIMIT LAWS
¤
(c)
are not equal, lim () does not exist.
→2

52. (a)  () =
2 + 1
if   1
( − 2)2
if  ≥ 1
lim  () = lim (2 + 1) = 12 + 1 = 2,
→1−
→1−
lim  () = lim ( − 2)2 = (−1)2 = 1
→1+
→1+
(c)
(b) Since the right­hand and left­hand limits of  at  = 1
are not equal, lim () does not exist.
→1
53. For the lim () to exist, the one­sided limits at  = 2 must be equal. lim () = lim
→2
→2−
lim () = lim
→2+
→2+
→2−


4 − 12  = 4 − 1 = 3 and
√
√
√
 +  = 2 + . Now 3 = 2 +  ⇒ 9 = 2 +  ⇔  = 7.
54. (a) (i) lim () = lim  = 1
→1−
→1−
(ii) lim () = lim (2 − 2 ) = 2 − 12 = 1. Since lim () = 1 and lim () = 1, we have lim () = 1.
→1+
→1−
→1+
→1+
→1
Note that the fact (1) = 3 does not affect the value of the limit.
(iii) When  = 1, () = 3, so (1) = 3.
(iv) lim () = lim (2 − 2 ) = 2 − 22 = 2 − 4 = −2
→2−
→2−
(v) lim () = lim ( − 3) = 2 − 3 = −1
→2+
→2+
(vi) lim () does not exist since lim () 6= lim ().
→2
(b)






3
() =

2 − 2




−3
→2−
→2+
if   1
if  = 1
if 1   ≤ 2
if   2
55. (a) (i) [[]] = −2 for −2 ≤   −1, so
→−2+
(ii) [[]] = −3 for −3 ≤   −2, so
→−2−
lim [[]] =
lim [[]] =
lim (−2) = −2
→−2+
lim (−3) = −3.
→−2−
The right and left limits are different, so lim [[]] does not exist.
→−2
(iii) [[]] = −3 for −3 ≤   −2, so
lim [[]] =
→−24
lim (−3) = −3.
→−24
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°
95
96
¤
CHAPTER 2
LIMITS AND DERIVATIVES
(b) (i) [[]] =  − 1 for  − 1 ≤   , so lim [[]] = lim ( − 1) =  − 1.
→−
→−
(ii) [[]] =  for  ≤    + 1, so lim [[]] = lim  = .
→+
→+
(c) lim [[]] exists ⇔  is not an integer.
→
56. (a) See the graph of  = cos .
Since −1 ≤ cos   0 on [− −2), we have  = () = [[cos ]] = −1
on [− −2).
Since 0 ≤ cos   1 on [−2 0) ∪ (0 2], we have () = 0
on [−2 0) ∪ (0 2].
Since −1 ≤ cos   0 on (2 ], we have  () = −1 on (2 ].
Note that (0) = 1.
(b) (i) lim  () = 0 and lim  () = 0, so lim  () = 0.
→0−
→0
→0+
(ii) As  → (2)− ,  () → 0, so
lim
→(2)−
(iii) As  → (2)+ ,  () → −1, so
lim
 () = 0.
→(2)+
 () = −1.
(iv) Since the answers in parts (ii) and (iii) are not equal, lim  () does not exist.
→2
(c) lim  () exists for all  in the open interval (− ) except  = −2 and  = 2.
→
57. The graph of  () = [[]] + [[−]] is the same as the graph of () = −1 with holes at each integer, since  () = 0 for any
integer . Thus, lim  () = −1 and lim  () = −1, so lim  () = −1. However,
→2−
→2
→2+
 (2) = [[2]] + [[−2]] = 2 + (−2) = 0, so lim  () 6=  (2).
→2
58. lim
→−

0

1−
2
2

√
= 0 1 − 1 = 0. As the velocity approaches the speed of light, the length approaches 0.
A left­hand limit is necessary since  is not defined for   .
59. Since () is a polynomial, () = 0 + 1  + 2 2 + · · · +   . Thus, by the Limit Laws,


lim () = lim 0 + 1  + 2 2 + · · · +   = 0 + 1 lim  + 2 lim 2 + · · · +  lim 
→
→
→
2
→
→

= 0 + 1  + 2  + · · · +   = ()
Thus, for any polynomial , lim () = ().
→
60. Let () =
()
where () and () are any polynomials, and suppose that () 6= 0. Then
()
lim () = lim
→
→
lim ()
()
→
=
()
lim  ()
→
[Limit Law 5] =
()
()
[Exercise 59] = ().
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°
SECTION 2.3
CALCULATING LIMITS USING THE LIMIT LAWS
¤
97


 () − 8
() − 8
· ( − 1) = lim
· lim ( − 1) = 10 · 0 = 0.
61. lim [() − 8] = lim
→1
→1
→1
→1
−1
−1
Thus, lim  () = lim {[ () − 8] + 8} = lim [ () − 8] + lim 8 = 0 + 8 = 8.
→1
→1
Note: The value of lim
→1
lim
→1
→1
→1
 () − 8
does not affect the answer since it’s multiplied by 0. What’s important is that
−1
 () − 8
exists.
−1


 ()
 () 2
62. (a) lim  () = lim
·  = lim 2 · lim 2 = 5 · 0 = 0
→0
→0
→0 
→0
2


 ()
 ()
 ()
= lim
·

= lim 2 · lim  = 5 · 0 = 0
→0 
→0
→0 
→0
2
(b) lim
63. Observe that 0 ≤  () ≤ 2 for all , and lim 0 = 0 = lim 2 . So, by the Squeeze Theorem, lim  () = 0.
→0
→0
→0
64. Let () = [[]] and () = −[[]]. Then lim () and lim () do not exist
→3
→3
[Example 10]
but lim [ () + ()] = lim ([[]] − [[]]) = lim 0 = 0.
→3
→3
→3
65. Let () = () and () = 1 − (), where  is the Heaviside function defined in Exercise 1.3.63.
Thus, either  or  is 0 for any value of . Then lim  () and lim () do not exist, but lim [ ()()] = lim 0 = 0.
→0
→0
→0
→0
√
√
√

√
6−−2
6−−2
6−+2
3−+1
= lim √
·√
·√
66. lim √
→2
→2
3−−1
3−−1
6−+2
3−+1
 √

2
√
√


6 −  − 22
3−+1
3−+1
6−−4
√
√
=
lim
·
= lim √
·

2
→2
→2
3−−1
6−+2
6−+2
3 −  − 12
√

√
(2 − ) 3 −  + 1
1
3−+1
√
 = lim √
=
→2 (2 − )
→2
2
6−+2
6−+2
= lim
67. Since the denominator approaches 0 as  → −2, the limit will exist only if the numerator also approaches
0 as  → −2. In order for this to happen, we need lim
→−2
 2

3 +  +  + 3 = 0 ⇔
3(−2)2 + (−2) +  + 3 = 0 ⇔ 12 − 2 +  + 3 = 0 ⇔  = 15. With  = 15, the limit becomes
lim
→−2
3(−2 + 3)
3( + 2)( + 3)
3( + 3)
3
32 + 15 + 18
= lim
= lim
=
=
= −1.
→−2 ( − 1)( + 2)
→−2  − 1
2 +  − 2
−2 − 1
−3
68. Solution 1: First, we find the coordinates of  and  as functions of . Then we can find the equation of the line determined
by these two points, and thus find the ­intercept (the point ), and take the limit as  → 0. The coordinates of  are (0 ).
The point  is the point of intersection of the two circles 2 +  2 = 2 and ( − 1)2 +  2 = 1. Eliminating  from these
equations, we get 2 − 2 = 1 − ( − 1)2
⇔
2 = 1 + 2 − 1 ⇔  = 12 2 . Substituting back into the equation of the
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°
98
¤
CHAPTER 2
LIMITS AND DERIVATIVES
shrinking circle to find the ­coordinate, we get
1
2
2
(the positive ­value). So the coordinates of  are

− =

1 − 14 2 − 
1 2

2
−0

2
+  2 = 2
1 2
2  



⇔  =  1 − 14 2
⇔  2 = 2 1 − 14 2


1 − 14 2 . The equation of the line joining  and  is thus
( − 0). We set  = 0 in order to find the ­intercept, and get
1 2
2
 = − 
 =

1 − 14 2 − 1
− 12 2


1 − 14 2 + 1
1−
1 2

4
−1
=2


1 − 14 2 + 1


√

1 − 14 2 + 1 = lim 2 1 + 1 = 4.
Now we take the limit as  → 0+ : lim  = lim 2
→0+
→0+
→0+
So the limiting position of  is the point (4 0).
Solution 2: We add a few lines to the diagram, as shown. Note that
∠  = 90◦ (subtended by diameter  ). So ∠ = 90◦ = ∠
(subtended by diameter  ). It follows that ∠ = ∠ . Also
∠  = 90◦ − ∠  = ∠ . Since 4 is isosceles, so is
4 , implying that  =  . As the circle 2 shrinks, the point 
plainly approaches the origin, so the point  must approach a point twice
as far from the origin as  , that is, the point (4 0), as above.
2.4 The Precise Definition of a Limit
1. If |() − 1|  02, then −02   () − 1  02
⇒ 08   ()  12. From the graph, we see that the last inequality is
true if 07    11, so we can choose  = min {1 − 07 11 − 1} = min {03 01} = 01 (or any smaller positive
number).
2. If |() − 2|  05, then −05   () − 2  05
⇒ 15   ()  25. From the graph, we see that the last inequality is
true if 26    38, so we can take  = min {3 − 26 38 − 3} = min {04 08} = 04 (or any smaller positive number).
Note that  6= 3.
3. The leftmost question mark is the solution of
√
√
 = 16 and the rightmost,  = 24. So the values are 162 = 256 and
242 = 576. On the left side, we need | − 4|  |256 − 4| = 144. On the right side, we need | − 4|  |576 − 4| = 176.
To satisfy both conditions, we need the more restrictive condition to hold — namely, | − 4|  144. Thus, we can choose
 = 144, or any smaller positive number.
4. The leftmost question mark is the positive solution of 2 =
1
,
2
that is,  =
1
√
,
2
and the rightmost question mark is the positive




solution of 2 = 32 , that is,  = 32 . On the left side, we need | − 1|   √12 − 1 ≈ 0292 (rounding down to be safe). On




the right side, we need | − 1|   32 − 1 ≈ 0224. The more restrictive of these two conditions must apply, so we choose

 = 0224 (or any smaller positive number).
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°
SECTION 2.4
From the graph, we find that  =
5.
THE PRECISE DEFINITION OF A LIMIT
¤
99
√
2 + 5 = 27 [3 − 03] when  ≈ 1513, so
2 −  1 ≈ 1513 ⇒  1 ≈ 2 − 1513 = 0487. Also,
√
 = 2 + 5 = 33 [3 + 03] when  ≈ 2426, so 2 +  2 ≈ 2426 ⇒
2 ≈ 2426 − 2 = 0426. Thus, we choose  = 0426 (or any smaller positive
number) since this is the smaller of  1 and 2 .
From the graph, we find that  = cos2  = 085 [075 + 010] when  ≈ 0398,
6.
so

6
−  1 ≈ 0398 ⇒  1 ≈

6
− 0398 ≈ 0126. Also,
 = cos  = 065 [075 − 010] when  ≈ 0633, so
2
2 ≈ 0633 −

6

6
+  2 ≈ 0633 ⇒
≈ 0109. Thus, we choose  = 0109 (or any smaller positive
number) since this is the smaller of  1 and 2 .
From the graph with  = 02, we find that  = 3 − 3 + 4 = 58 [6 − ] when
7.
  19774, so 2 −  1  19774 ⇒  1  00226. Also,
 = 3 − 3 + 4 = 62 [6 + ] when   2022, so 2 + 2  20219 ⇒
 2  00219. Thus, we choose  = 00219 (or any smaller positive number)
since this is the smaller of  1 and 2 .
For  = 01, we get  1  00112 and  2  00110, so we choose  = 0011
(or any smaller positive number).
From the graph with  = 05, we find that  = (2 − 1) = 15 [2 − ] when
8.
  −0303, so  1  0303. Also,  = (2 − 1) = 25 [2 + ] when
  0215, so  2  0215. Thus, we choose  = 0215 (or any smaller positive
number) since this is the smaller of  1 and 2 .
For  = 01, we get  1  0052 and  2  0048, so we choose  = 0048 (or
any smaller positive number).
9. (a)
The first graph of  =
1
shows a vertical asymptote at  = 2. The second graph shows that  = 100 when
ln( − 1)
 ≈ 201 (more accurately, 201005). Thus, we choose  = 001 (or any smaller positive number).
(b) From part (a), we see that as  gets closer to 2 from the right,  increases without bound. In symbols,
lim
→2+
1
= ∞.
ln( − 1)
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°
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CHAPTER 2
LIMITS AND DERIVATIVES
10. We graph  = csc2  and  = 500. The graphs intersect at  ≈ 3186, so
we choose  = 3186 −  ≈ 0044. Thus, if 0  | − |  0044, then
csc2   500. Similarly, for  = 1000, we get  = 3173 −  ≈ 0031.
11. (a)  = 2 and  = 1000 cm2
⇒ 2 = 1000 ⇒ 2 =
1000

⇒ =

1000

(  0)
≈ 178412 cm.
(b) | − 1000| ≤ 5 ⇒ −5 ≤ 2 − 1000 ≤ 5 ⇒ 1000 − 5 ≤ 2 ≤ 1000 + 5 ⇒






995
1005
1000
995
1005
1000
≤

≤
⇒
177966
≤

≤
178858.
−
≈
004466
and
−





 ≈ 004455. So
if the machinist gets the radius within 00445 cm of 178412, the area will be within 5 cm2 of 1000.
(c)  is the radius,  () is the area,  is the target radius given in part (a),  is the target area (1000 cm2 ),  is the magnitude
of the error tolerance in the area (5 cm2 ), and  is the tolerance in the radius given in part (b).
12. (a)  = 012 + 2155 + 20 and  = 200
⇒
012 + 2155 + 20 = 200 ⇒ [by the quadratic formula or
from the graph]  ≈ 330 watts (  0)
(b) From the graph, 199 ≤  ≤ 201 ⇒ 3289    3311.
(c)  is the input power,  () is the temperature,  is the target input power given in part (a),  is the target temperature (200),
 is the tolerance in the temperature (1), and  is the tolerance in the power input in watts indicated in part (b) (011 watts).
13. (a) |4 − 8| = 4 | − 2|  01
⇔ | − 2| 
01
01
, so  =
= 0025.
4
4
(b) |4 − 8| = 4 | − 2|  001 ⇔ | − 2| 
001
001
, so  =
= 00025.
4
4
14. |(5 − 7) − 3| = |5 − 10| = |5( − 2)| = 5 | − 2|. We must have |() − |  , so 5 | − 2|  
⇔
| − 2|  5. Thus, choose  = 5. For  = 01,  = 002; for  = 005,  = 001; for  = 001,  = 0002.
15. Given   0, we need   0 such that if 0  | − 4|  , then





 1
(  − 1) − 1  . But ( 1  − 1) − 1   ⇔  1  − 2   ⇔
2
2
2
1
  | − 4|   ⇔ | − 4|  2. So if we choose  = 2, then
2




0  | − 4|   ⇒ ( 12  − 1) − 1  . Thus, lim 12  − 1 = 1
→4
by the definition of a limit.
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°
SECTION 2.4
THE PRECISE DEFINITION OF A LIMIT
¤
101
16. Given   0, we need   0 such that if 0  | − 2|  , then
|(2 − 3) − (−4)|  . But |(2 − 3) − (−4)|   ⇔
|6 − 3|   ⇔ |−3| | − 2|   ⇔ | − 2|  13 . So if we
choose  = 13 , then 0  | − 2|  
⇒ |(2 − 3) − (−4)|  . Thus,
lim (2 − 3) = −4 by the definition of a limit.
→2
17. Given   0, we need   0 such that if 0  | − (−2)|  , then
|(−2 + 1) − 5|  . But |(−2 + 1) − 5|   ⇔
|−2 − 4|   ⇔ |−2| | − (−2)|   ⇔ | − (−2)|  12 .
So if we choose  = 12 , then 0  | − (−2)|  
⇒
|(−2 + 1) − 5|  . Thus, lim (−2 + 1) = 5 by the definition of a
→−2
limit.
18. Given   0, we need   0 such that if 0  | − 1|  , then
|(2 − 5) − (−3)|  . But |(2 − 5) − (−3)|   ⇔
|2 − 2|   ⇔ |2| | − 1|   ⇔ | − 1|  12 . So if we choose
 = 12 , then 0  | − 1|  
⇒ |(2 − 5) − (−3)|  . Thus,
lim (2 − 5) = −3 by the definition of a limit.
→1






19. Given   0, we need   0 such that if 0  | − 9|  , then  1 − 13  − (−2)  . But  1 − 13  − (−2)  


 
3 − 1    ⇔ − 1  | − 9|   ⇔ | − 9|  3. So if we choose  = 3, then 0  | − 9|  
3
3





 1 − 1  − (−2)  . Thus, lim 1 − 1  = −2 by the definition of a limit.
3
3
⇒
→9
 3
20. Given   0, we need   0 such that if 0  | − 5|  , then 
3
 −
2

15 
2
2
−
1
2





− 7  . But  32  − 12 − 7   ⇔
 
  ⇔  32  | − 5|   ⇔ | − 5|  23 . So if we choose  = 23 , then 0  | − 5|  

 3



  − 1 − 7  . Thus, lim 3  − 1 = 7 by the definition of a limit.
2
2
2
2
⇒
→5
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⇔
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¤
CHAPTER 2
LIMITS AND DERIVATIVES
 2
  − 2 − 8
21. Given   0, we need   0 such that if 0  | − 4|  , then 


− 6   ⇔
−4


 ( − 4)( + 2)


− 6   ⇔ | + 2 − 6|   [ 6= 4] ⇔ | − 4|  . So choose  = . Then

−4


 ( − 4)( + 2)

0  | − 4|   ⇒ | − 4|   ⇒ | + 2 − 6|   ⇒ 
− 6   [ 6= 4] ⇒
−4
 2

  − 2 − 8

2 − 2 − 8

− 6  . By the definition of a limit, lim
= 6.

→4
−4
−4

 9 − 42
22. Given   0, we need   0 such that if 0  | + 15|  , then 


− 6   ⇔
3 + 2


 (3 + 2)(3 − 2)


− 6   ⇔ |3 − 2 − 6|   [ 6= −15] ⇔ |−2 − 3|   ⇔ |−2| | + 15|   ⇔

3 + 2
| + 15|  2. So choose  = 2. Then 0  | + 15|   ⇒ | + 15|  2 ⇒ |−2| | + 15|   ⇒




 9 − 42


 (3 + 2)(3 − 2)
|−2 − 3|   ⇒ |3 − 2 − 6|   ⇒ 
− 6   [ 6= −15] ⇒ 
− 6  .
3 + 2
3 + 2
By the definition of a limit,
9 − 42
= 6.
→−15 3 + 2
lim
23. Given   0, we need   0 such that if 0  | − |  , then | − |  . So  =  will work.
24. Given   0, we need   0 such that if 0  | − |  , then | − |  . But | − | = 0, so this will be true no matter
what  we pick.


⇔ 2  


⇔ ||3   ⇔ || 


25. Given   0, we need   0 such that if 0  | − 0|  , then 2 − 0  
Then 0  | − 0|  


⇒ 2 − 0  . Thus, lim 2 = 0 by the definition of a limit.
√
√
. Take  = .
→0
26. Given   0, we need   0 such that if 0  | − 0|  , then 3 − 0  
Then 0  | − 0|  
⇔ || 
√
√
3
. Take  = 3 .


⇒ 3 − 0   3 = . Thus, lim 3 = 0 by the definition of a limit.
→0


27. Given   0, we need   0 such that if 0  | − 0|  , then || − 0  . But || = ||. So this is true if we pick  = .
Thus, lim || = 0 by the definition of a limit.
→0
√
√


28. Given   0, we need   0 such that if 0   − (−6)  , then  8 6 +  − 0  . But  8 6 +  − 0  
√
8
6 +    ⇔ 6 +   8 ⇔  − (−6)  8 . So if we choose  = 8 , then 0   − (−6)  

√
√
 8 6 +  − 0  . Thus, lim 8 6 +  = 0 by the definition of a right­hand limit.
⇔
⇒
→−6+



⇔ 2 − 4 + 4   ⇔


√
⇔ | − 2|   ⇔ ( − 2)2   . Thus,


29. Given   0, we need   0 such that if 0  | − 2|  , then  2 − 4 + 5 − 1  


( − 2)2   . So take  = √. Then 0  | − 2|  


lim 2 − 4 + 5 = 1 by the definition of a limit.
→2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 2.4
THE PRECISE DEFINITION OF A LIMIT



¤

30. Given   0, we need   0 such that if 0  | − 2|  , then (2 + 2 − 7) − 1  . But (2 + 2 − 7) − 1  
103
⇔

 2
 + 2 − 8   ⇔ | + 4| | − 2|  . Thus our goal is to make | − 2| small enough so that its product with | + 4|
is less than . Suppose we first require that | − 2|  1. Then −1   − 2  1 ⇒ 1    3 ⇒ 5   + 4  7 ⇒
| + 4|  7, and this gives us 7 | − 2|   ⇒ | − 2|  7. Choose  = min {1 7}. Then if 0  | − 2|  , we


have | − 2|  7 and | + 4|  7, so (2 + 2 − 7) − 1 = |( + 4)( − 2)| = | + 4| | − 2|  7(7) = , as
desired. Thus, lim (2 + 2 − 7) = 1 by the definition of a limit.
→2



31. Given   0, we need   0 such that if 0  | − (−2)|  , then  2 − 1 − 3   or upon simplifying we need
 2

 − 4   whenever 0  | + 2|  . Notice that if | + 2|  1, then −1   + 2  1 ⇒ −5   − 2  −3 ⇒
| − 2|  5. So take  = min {5 1}. Then 0  | + 2|   ⇒ | − 2|  5 and | + 2|  5, so

 2

  − 1 − 3 = |( + 2)( − 2)| = | + 2| | − 2|  (5)(5) = . Thus, by the definition of a limit, lim (2 − 1) = 3.
→−2







32. Given   0, we need   0 such that if 0  | − 2|  , then 3 − 8  . Now 3 − 8 = ( − 2) 2 + 2 + 4 .
If | − 2|  1, that is, 1    3, then 2 + 2 + 4  32 + 2(3) + 4 = 19 and so

 3




 − 8 = | − 2| 2 + 2 + 4  19 | − 2|. So if we take  = min 1  , then 0  | − 2|  
19

 3


 − 8 = | − 2| 2 + 2 + 4 

33. Given   0, we let  = min 2

8

19
· 19 = . Thus, by the definition of a limit, lim 3 = 8.
→2

. If 0  | − 3|  , then | − 3|  2 ⇒ −2   − 3  2 ⇒


4   + 3  8 ⇒ | + 3|  8. Also | − 3|  8 , so 2 − 9 = | + 3| | − 3|  8 ·
34. From the figure, our choices for  are  1 = 3 −
2 =
⇒

8
= . Thus, lim 2 = 9.
→3
√
9 −  and
√
9 +  − 3. The largest possible choice for  is the minimum
value of { 1   2 }; that is,  = min{ 1   2 } =  2 =
√
9 +  − 3.
35. (a) The points of intersection in the graph are (1  26) and (2  34)
with 1 ≈ 0891 and 2 ≈ 1093. Thus, we can take  to be the
smaller of 1 − 1 and 2 − 1. So  = 2 − 1 ≈ 0093.
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°
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CHAPTER 2
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(b) Solving 3 +  + 1 = 3 +  with a CAS gives us two nonreal complex solutions and one real solution, which is
√
23

216 + 108 + 12 336 + 324 + 812
− 12
() =
√
13 . Thus,  = () − 1.

2
6 216 + 108 + 12 336 + 324 + 81
(c) If  = 04, then () ≈ 1093 272 342 and  = () − 1 ≈ 0093, which agrees with our answer in part (a).


1
1
Let   0 be given. We have to find a number   0 such that  −    whenever

2

 


1


2 − 
| − 2|
1
1
=
0  | − 2|  . But  −  = 
 . We find a positive constant  such that
 ⇒
 2
2 
|2|
|2|
36. 1. Guessing a value for 

| − 2|
  | − 2| and we can make  | − 2|   by taking | − 2| 
= . We restrict  to lie in the interval
|2|

| − 2|  1 ⇒ 1    3 so 1 
1
1


3
⇒
1
1
1


6
2
2
⇒
1
1
1
 . So  = is suitable. Thus, we should
|2|
2
2
choose  = min {1 2}.
2. Showing that  works
Given   0 we let  = min {1 2}. If 0  | − 2|  , then | − 2|  1 ⇒ 1    3 ⇒


1
1
1
1  | − 2|
1
 (as in part 1). Also | − 2|  2, so  −  =
 · 2 = . This shows that lim (1) = 12 .
→2
|2|
2
 2
|2|
2
37. 1. Guessing a value for 
√
√
Given   0, we must find   0 such that |  − |   whenever 0  | − |  . But
√
√
√
√
| − |
√   (from the hint). Now if we can find a positive constant  such that  +    then
|  − | = √
+ 
| − |
| − |
√
√ 
 , and we take | − |  . We can find this number by restricting  to lie in some interval

+ 

√
√
√
centered at . If | − |  12 , then − 12    −   12  ⇒ 12     32  ⇒
 +   12  + , and so
=


√
√ 
1
 is a suitable choice for the constant. So | − | 
 +  . This suggests that we let
2
1

2
+

1

2
 = min

1

2
+
2. Showing that  works
| − |  12  ⇒
√  
  .
Given   0, we let  = min

1

2

1

2
+
√  
  . If 0  | − |  , then


√
√
√
√ 
1
 +   12  +  (as in part 1). Also | − | 
 , so
2 +

√ 
2 +  
√
√
√
√
| − |
√  
lim  =  by the definition of a limit.
|  − | = √
√  = . Therefore, →
+ 
2 + 
38. Suppose that lim () = . Given  =
→0
−
1
2
so  −
1
,
2
there exists   0 such that 0  ||  
 ()   + 12 . For 0    , () = 1, so 1   +
1
2
1
2
⇒ |() − | 
1
2
⇔
⇒   12 . For −    0, () = 0,
 0 ⇒   12 . This contradicts   12 . Therefore, lim () does not exist.
→0
39. Suppose that lim  () = . Given  =
→0
1
,
2
there exists   0 such that 0  ||  
⇒ |() − |  12 . Take any rational
number  with 0  ||  . Then  () = 0, so |0 − |  12 , so  ≤ ||  12 . Now take any irrational number  with
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°
SECTION 2.4
¤
THE PRECISE DEFINITION OF A LIMIT
105
0  ||  . Then  () = 1, so |1 − |  12 . Hence, 1 −   12 , so   12 . This contradicts   12 , so lim () does not
→0
exist.
40. First suppose that lim  () = . Then, given   0 there exists   0 so that 0  | − |  
→
⇒ |() − |  .
Then  −      ⇒ 0  | − |   so | () − |  . Thus, lim  () = . Also      + 
→−
⇒
0  | − |   so | () − |  . Hence, lim  () = .
→+
Now suppose lim  () =  = lim (). Let   0 be given. Since lim  () = , there exists 1  0 so that
→−
→−
→+
 −  1     ⇒ | () − |  . Since lim  () = , there exists  2  0 so that      +  2
→+
| () − |  . Let  be the smaller of  1 and 2 . Then 0  | − |  
⇒  −  1     or      + 2 so
| () − |  . Hence, lim  () = . So we have proved that lim  () =  ⇔
→
41.
1
⇔ | + 3|  √
4
10,000
42. Given   0, we need   0 such that 0  | + 3|  
( + 3)4 
lim
→−3
1

lim () =  = lim  ().
→
1
1
 10,000 ⇔ ( + 3)4 
( + 3)4
10,000
⇒
⇔
→−
→+
| − (−3)| 
⇒ 1( + 3)4  . Now
1
10
1

( + 3)4
1
1
1
⇔ | + 3|  √
. So take  = √
. Then 0  | + 3|   = √
4
4
4



⇒
⇔
1
 , so
( + 3)4
1
= ∞.
( + 3)4
43. Given   0 we need   0 so that ln    whenever 0    ; that is,  = ln    whenever 0    . This
suggests that we take  =  . If 0     , then ln   ln  = . By the definition of a limit, lim ln  = −∞.
→0+
44. (a) Let  be given. Since lim  () = ∞, there exists  1  0 such that 0  | − |   1
→
lim () = , there exists  2  0 such that 0  | − |   2
→
smaller of 1 and 2 . Then 0  | − |  
⇒  ()   + 1 − . Since
⇒ |() − |  1 ⇒ ()   − 1. Let  be the
⇒  () + ()  ( + 1 − ) + ( − 1) = . Thus,
lim [ () + ()] = ∞.
→
(b) Let   0 be given. Since lim () =   0, there exists  1  0 such that 0  | − |   1
→
⇒
|() − |  2 ⇒ ()  2. Since lim  () = ∞, there exists  2  0 such that 0  | − |   2
→
 ()  2. Let  = min {1   2 }. Then 0  | − |  
⇒  () () 
2 
= , so lim  () () = ∞.
→
 2
(c) Let   0 be given. Since lim () =   0, there exists 1  0 such that 0  | − |   1
→
⇒
⇒
|() − |  −2 ⇒ ()  2. Since lim  () = ∞, there exists  2  0 such that 0  | − |   2
⇒
 ()  2. (Note that   0 and   0 ⇒ 2  0.) Let  = min {1   2 }. Then 0  | − |  
⇒
→
 ()  2 ⇒  () () 
2 
· = , so lim  () () = −∞.
→
 2
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°
106
¤
CHAPTER 2
LIMITS AND DERIVATIVES
2.5 Continuity
1. From Definition 1, lim  () =  (4).
→4
2. The graph of  has no hole, jump, or vertical asymptote.
3. (a)  is discontinuous at −4 since  (−4) is not defined and at −2, 2, and 4 since the limit does not exist (the left and right
limits are not the same).
(b)  is continuous from the left at −2 since
lim  () =  (−2).  is continuous from the right at 2 and 4 since
→−2−
lim () =  (2) and lim  () =  (4). The function is not continuous from either side at −4 since  (−4) is
→2+
→4+
undefined.
4.  is not continuous at −2 since (−2) is not defined.  is not continuous at  = −1 since the limit does not exist (the left and
right limits are −∞).  is not continuous at  = 0 and  = 1 since the limit does not exist (the left and right limits are not
equal).
5. (a) From the graph we see that lim  () does not exist at  = 1 since the left and right limits are not the same.
→
(b)  is not continuous at  = 1 since lim  () does not exist by part (a). Also,  is not continuous at  = 3 since
→1
lim  () 6=  (3).
→3
(c) From the graph we see that lim  () = 3, but  (3) = 2. Since the limit is not equal to (3),  is not continuous at  = 3.
→3
6. (a) From the graph we see that lim  () does not exist at  = 1 since the function increases without bound from the left and
→
from the right. Also, lim  () does not exist at  = 5 since the left and right limits are not the same.
→
(b)  is not continuous at  = 1 and at  = 5 since the limits do not exist by part (a). Also,  is not continuous at  = 3 since
lim  () 6=  (3).
→3
(c) From the graph we see that lim  () exists, but the limit is not equal to  (3), so  is not continuous at  = 3.
→3
7.
The graph of  =  () must have a removable discontinuity (a hole) at
 = −2 and an infinite discontinuity (a vertical asymptote) at  = 2.
8.
The graph of  =  () must have a jump discontinuity at  = −3 and a
removable discontinuity (a hole) at  = 4.
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°
SECTION 2.5
CONTINUITY
¤
107
The graph of  =  () must have discontinuities at  = 0 and  = 3. It
9.
must show that lim  () =  (0) and lim () = (3).
→3−
→0+
The graph of  =  () must have a discontinuity at  = −1 with
10.
lim  () =  (−1) and lim  () 6=  (−1). The graph must also
→−1−
→−1+
show that lim  () 6= (3) and lim  () 6= (3).
→3−
→3+
11. (a) The toll is $5 except between 7:00 AM and 10:00 AM and between 4:00 PM and
7:00 PM, when the toll is $7.
(b) The function  has jump discontinuities at  = 7, 10, 16, and 19. Their
significance to someone who uses the road is that, because of the sudden jumps in
the toll, they may want to avoid the higher rates between  = 7 and  = 10 and
between  = 16 and  = 19 if feasible.
12. (a) Continuous; at the location in question, the temperature changes smoothly as time passes, without any instantaneous jumps
from one temperature to another.
(b) Continuous; the temperature at a specific time changes smoothly as the distance due west from New York City increases,
without any instantaneous jumps.
(c) Discontinuous; as the distance due west from New York City increases, the altitude above sea level may jump from one
height to another without going through all of the intermediate values — at a cliff, for example.
(d) Discontinuous; as the distance traveled increases, the cost of the ride jumps in small increments.
(e) Discontinuous; when the lights are switched on (or off ), the current suddenly changes between 0 and some nonzero value,
without passing through all of the intermediate values. This is debatable, though, depending on your definition of current.
13.
lim  () = lim
→−1
→−1
 2

3 + ( + 2)5 = lim 32 + lim ( + 2)5 = 3 lim 2 + lim ( + 2)5
→−1
→−1
→−1
→−1
= 3(−1)2 + (−1 + 2)5 = 4 =  (−1)
By the definition of continuity,  is continuous at  = −1.
lim (2 + 5)
lim 2 + 5 lim 
22 + 5(2)
14
2 + 5
→2
→2
→2
=
=
=
=
= (2).
14. lim () = lim
→2
→2 2 + 1
lim (2 + 1)
2 lim  + lim 1
2(2) + 1
5
→2
→2
→2
By the definition of continuity,  is continuous at  = 2.
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°
108
¤
CHAPTER 2
LIMITS AND DERIVATIVES
√
15. lim () = lim 2 3 2 + 1 = 2 lim
→1
→1
→1


√
3 2 + 1 = 2 lim (3 2 + 1) = 2 3 lim  2 + lim 1
→1
→1
→1

√
= 2 3(1)2 + 1 = 2 4 = 4 = (1)
By the definition of continuity,  is continuous at  = 1.
16. lim  () = lim
→−2
→−2


√
√
3
42 − 2 + 7 = 3 lim (42 − 2 + 7) = 3 4(−2)2 − 2(−2) + 7 = 3 27 = 3 = (−2)
→−2
By the definition of continuity,  is continuous at  = −2.
17. For   4, we have
√
√
lim  () = lim ( +  − 4 ) = lim  + lim  − 4
→
→
→

=  + lim  − lim 4
→
→
√
=+ −4
→
[Limit Law 1]
[8, 11, and 2]
[8 and 7]
=  ()
So  is continuous at  =  for every  in (4 ∞). Also, lim  () = 4 = (4), so  is continuous from the right at 4.
→4+
Thus,  is continuous on [4 ∞).
18. For   −2, we have
lim () = lim
→
→
lim ( − 1)
−1
→
=
3 + 6
lim (3 + 6)
[Limit Law 5]
→
=
lim  − lim 1
→
→
=
→
3 lim  + lim 6
[2 1 and 3]
→
−1
3 + 6
[8 and 7]
Thus,  is continuous at  =  for every  in (−∞ −2); that is,  is continuous on (−∞ −2).
19.  () =
1
is discontinuous at  = −2 because  (−2) is undefined.
+2
20.  () =


1
+2

1
if  6= −2
if  = −2
Here  (−2) = 1, but
lim  () = −∞ and lim  () = ∞,
→−2−
→−2+
so lim  () does not exist and  is discontinuous at −2.
→−2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 2.5
21.  () =

2
lim  () =
→−1+
109
if   −1

lim  () =
¤
if  ≤ −1
+3
→−1−
CONTINUITY
lim ( + 3) = −1 + 3 = 2 and
→−1−
lim 2 = 2−1 = 12 . Since the left­hand and the
→−1+
right­hand limits of  at −1 are not equal, lim  () does not exist, and
→−1
 is discontinuous at −1.
 2
 −
2 − 1
22.  () =

1
lim  () = lim
→1
→1
if  6= 1
if  = 1
1
2 − 
( − 1)

= lim
= lim
= ,
→1 ( + 1)( − 1)
→1  + 1
2 − 1
2
but  (1) = 1, so  is discontinous at 1

cos 


23.  () = 0


1 − 2
if   0
if  = 0
if   0
lim  () = 1, but  (0) = 0 6= 1, so  is discontinuous at 0.
→0
 2
 2 − 5 − 3
−3
24.  () =

6
lim  () = lim
→3
→3
if  6= 3
if  = 3
22 − 5 − 3
(2 + 1)( − 3)
= lim
= lim (2 + 1) = 7,
→3
→3
−3
−3
but  (3) = 6, so  is discontinuous at 3.
25. (a)  () =
−3
1
−3
=
=
for  6= 3.  (3) is undefined, so  is discontinuous at  = 3. Further,
2 − 9
( − 3)( + 3)
+3
lim  () =
→3
1
1
= . Since  is discontinuous at  = 3, but lim  () exists,  has a removable discontinuity
→3
3+3
6
at  = 3.
(b) If  is redefined to be
26. (a)  () =
1
6
at  = 3, then  will be equivalent to the function  () =
1
, which is continuous at  = 3.
+3
( − 3)( − 4)
2 − 7 + 12
=
=  − 4 for  6= 3.  (3) is undefined, so  is discontinuous at  = 3.
−3
−3
Further, lim  () = 3 − 4 = −1. Since  is discontinuous at  = 3, but lim  () exists,  has a removable discontinuity
→3
→3
at  = 3.
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(b) If  is redefined to be −1 at  = 3, then  will be equivalent to the function () =  − 4, which is continuous
everywhere (and is thus continuous at  = 3).
2
is (−∞ ∞) since the denominator is never 0. By Theorem 5(a), the polynomial 2 is
4 + 2
√
continuous everywhere. By Theorems 5(a), 7, and 9, 4 + 2 is continuous everywhere. Finally, by part 5 of Theorem 4,
27. The domain of  () = √
 () is continuous everywhere.
28. () =
3 − 1
3 − 1
=
is a rational function, so it is continuous on its domain,
 2 + 2 − 15
( + 5)( − 3)
(−∞ −5) ∪ (−5 3) ∪ (3 ∞), by Theorem 5(b).
29. The domain of () =
cos(2 )
must exclude any value of  for which 1 −  = 0. 1 −  = 0 ⇒  = 1 ⇒
1 − 
ln( ) = ln 1 ⇒  = 0, so the domain of () is (−∞ 0) ∪ (0 ∞). By Theorems 7 and 9, cos(2 ) is continuous on .
By Theorems 5 and 7 and part 2 of Theorem 4, 1 −  is continuous everywhere. Finally, by part 5 of Theorem 4, () is
continuous on its domain.
√
√
√
3 − 2 + 3 2 − 3 is defined when 3 − 2 ≥ 0 ⇒ 3 ≥ 2 ⇒  ≥ 23 . (Note that 3 2 − 3 is defined


√
√
everywhere.) So  has domain 23  ∞ . By Theorems 7 and 9, 3 − 2 and 3 2 − 3 are each continuous on their domain
30. () =
because each is the composite of a root function and a polynomial function.  is the sum of these two functions, so it is
continuous at every number in its domain by part 1 of Theorem 4.
31. () =  ln(1 −  2 ) is defined when 1 −  2  0
⇔  2  1 ⇔ ||  1 ⇔ −1    1. Thus,  has domain
(−1 1). Now  and the composite function ln(1 −  2 ) are continuous on their domains by Theorems 7 and 9. Thus, by part 4
of Theorem 4, () is continuous on its domain.
2
2
32.  () = − ln(1 + 2 ) has domain (−∞ ∞) since 1 + 2  0. By Theorems 7 and 9, − and ln(1 + 2 ) are continuous
everywhere. Finally, by part 4 of Theorem 4,  () is continuous everywhere.


+1
1
+1
is defined when
≥ 0 ⇒  + 1 ≥ 0 and   0 or  + 1 ≤ 0 and   0 ⇒   0
33. () = 1 + =



or  ≤ −1, so  has domain (−∞ −1] ∪ (0 ∞).  is the composite of a root function and a rational function, so it is
continuous at every number in its domain by Theorems 7 and 9.
34. The function () = cos−1 ( − 1) is defined for −1 ≤  − 1 ≤ 1
⇒ 0 ≤  ≤ 2 ⇒ ln( ) ≤ ln 2 [since  is
always positive] ⇒  ≤ ln 2, so the domain of  is (−∞ ln 2]. The function  − 1 is the difference of an exponential and
a constant (polynomial) function, so it is continuous on its domain by Theorem 7 and part 2 of Theorem 4. The inverse
trigonometric function cos−1  is continuous on its domain by Theorem 7. The function  is then the composite of continuous
functions, so by Theorem 9 it is continuous on its domain.
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°
SECTION 2.5
CONTINUITY
¤
111
√
√
√
20 − 2 is continuous on its domain, − 20 ≤  ≤ 20, the product
√
√
√
 () =  20 − 2 is continuous on − 20 ≤  ≤ 20. The number 2 is in that domain, so  is continuous at 2, and
√
lim  () =  (2) = 2 16 = 8.
35. Because  is continuous on  and
→2
36. The function  () = sin(tan(cos )) is the composite of trigonometric functions, so it is continuous throughout its domain.
Now the domain of cos  is , −1 ≤ cos  ≤ 1, the domain of tan  includes [−1 1], and the domain of sin  is , so the
domain of  is . Thus  is continuous at

37. The function  () = ln
5 − 2
1+


2,
and lim sin(tan(cos )) = sin(tan(cos 2 )) = sin(tan(0)) = sin(0) = 0.
0→2
is continuous throughout its domain because it is the composite of a logarithm function
and a rational function. For the domain of  , we must have
5 − 2
 0, so the numerator and denominator must have the
1+
√
√
same sign, that is, the domain is (−∞ − 5 ] ∪ (−1 5 ]. The number 1 is in that domain, so  is continuous at 1, and
lim  () =  (1) = ln
→1
5−1
= ln 2.
1+1
√
2 −2−4
38. The function  () = 3
is continuous throughout its domain because it is the composite of an exponential function,
a root function, and a polynomial. Its domain is

 
 

 | 2 − 2 − 4 ≥ 0 =  | 2 − 2 + 1 ≥ 5 =  | ( − 1)2 ≥ 5
 
√ 
√
√
=   | − 1| ≥ 5 = (−∞ 1 − 5 ] ∪ [1 + 5 ∞)
√
The number 4 is in that domain, so  is continuous at 4, and lim  () = (4) = 3
→4
16−8−4
= 32 = 9.
1
is discontinuous wherever
1 − sin 
39. The function  () = √
1 − sin  = 0 ⇒ sin  = 1 ⇒  =

2
+ 2, where  is any
integer. The graph shows the discontinuities for  = −1, 0, and 1.
40. The function  = arctan(1) is discontinuous only where 1 is
undefined. Thus  = arctan(1) is discontinuous at  = 0. (From the
graph, note also that the left­ and right­hand limits at  = 0 are different.)
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41.  () =

LIMITS AND DERIVATIVES
if  ≤ 1
1 − 2
if   1
ln 
By Theorem 5, since  () equals the polynomial 1 − 2 on (−∞ 1],  is continuous on (−∞ 1].
By Theorem 7, since  () equals the logarithm function ln  on (1 ∞),  is continuous on (1 ∞).
At  = 1, lim  () = lim (1 − 2 ) = 1 − 12 = 0 and lim  () = lim ln  = ln 1 = 0. Thus, lim  () exists and
→1−
→1−
→1+
→1
→1+
equals 0. Also,  (1) = 1 − 12 = 0. Thus,  is continuous at  = 1. We conclude that  is continuous on (−∞ ∞).
42.  () =

sin 
if   4
cos 
if  ≥ 4
By Theorem 7, the trigonometric functions are continuous. Since () = sin  on (−∞ 4) and  () = cos  on
√
lim sin  = sin 4 = 1 2 since the sine
(4 ∞),  is continuous on (−∞ 4) ∪ (4 ∞) lim  () =
→(4)−
function is continuous at 4 Similarly,
at 4. Thus,
lim
→(4)
lim
→(4)+
 () =
lim
→(4)+
→(4)−
√
cos  = 1 2 by continuity of the cosine function
√
 () exists and equals 1 2, which agrees with the value  (4). Therefore,  is continuous at 4,
so  is continuous on (−∞ ∞).
 2



43.  () = 


1
if   −1
if − 1 ≤   1
if  ≥ 1
 is continuous on (−∞ −1), (−1 1), and (1 ∞), where it is a polynomial,
a polynomial, and a rational function, respectively.
Now
lim  () =
→−1−
lim 2 = 1 and
→−1−
lim  () =
→−1+
lim  = −1,
→−1+
so  is discontinuous at −1. Since  (−1) = −1,  is continuous from the right at −1. Also, lim  () = lim  = 1 and
→1−
lim  () = lim
→1+
→1+
 
2


44.  () = 3 − 

√

→1−
1
= 1 =  (1), so  is continuous at 1.

if  ≤ 1
if 1   ≤ 4
if   4
 is continuous on (−∞ 1), (1 4), and (4 ∞), where it is an exponential,
a polynomial, and a root function, respectively.
Now lim  () = lim 2 = 2 and lim  () = lim (3 − ) = 2. Since  (1) = 2 we have continuity at 1. Also,
→1−
→1−
→1+
→1+
lim  () = lim (3 − ) = −1 =  (4) and lim () = lim
→4−
→4−
→4+
→4+
√
 = 2, so  is discontinuous at 4, but it is continuous
from the left at 4.
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°
SECTION 2.5

+2



45.  () = 



2−
CONTINUITY
¤
113
if   0
if 0 ≤  ≤ 1
if   1
 is continuous on (−∞ 0) and (1 ∞) since on each of these intervals
it is a polynomial; it is continuous on (0 1) since it is an exponential.
Now lim  () = lim ( + 2) = 2 and lim  () = lim  = 1, so  is discontinuous at 0. Since  (0) = 1,  is
→0−
→0−
→0+
→0+
continuous from the right at 0. Also lim  () = lim  =  and lim  () = lim (2 − ) = 1, so  is discontinuous
→1−
→1−
→1+
→1+
at 1. Since  (1) = ,  is continuous from the left at 1.
46. By Theorem 5, each piece of  is continuous on its domain. We need to check for continuity at  = .
lim  () = lim
→−
→−






=
and lim  () = lim
=
, so lim  () =
. Since  () =
,
→
3
2
2
2
2
→+
→+  2
 is continuous at . Therefore,  is a continuous function of .
47.  () =

if   2
2 + 2
if  ≥ 2
3
 − 
 is continuous on (−∞ 2) and (2 ∞). Now lim () = lim
→2−
lim  () = lim
→2+
→2+
→2−
 2

 + 2 = 4 + 4 and
 3

 −  = 8 − 2. So  is continuous ⇔ 4 + 4 = 8 − 2 ⇔ 6 = 4 ⇔  = 23 . Thus, for 
to be continuous on (−∞ ∞),  = 23 .
48.  () =
 2
 −4



 −2
if   2
2 −  + 3




2 −  + 
At  = 2:
if 2 ≤   3
if  ≥ 3
lim  () = lim
→2−
→2−
2 − 4
( + 2)( − 2)
= lim
= lim ( + 2) = 2 + 2 = 4
−2
−2
→2−
→2−
lim  () = lim (2 −  + 3) = 4 − 2 + 3
→2+
→2+
We must have 4 − 2 + 3 = 4, or 4 − 2 = 1 (1).
At  = 3:
lim  () = lim (2 −  + 3) = 9 − 3 + 3
→3−
→3−
lim  () = lim (2 −  + ) = 6 −  + 
→3+
→3+
We must have 9 − 3 + 3 = 6 −  + , or 10 − 4 = 3 (2).
Now solve the system of equations by adding −2 times equation (1) to equation (2).
−8 + 4 = −2
10 − 4 =
2
=
So  = 12 . Substituting
==
1
2
for  in (1) gives us −2 = −1, so  =
1
2
3
1
as well. Thus, for  to be continuous on (−∞ ∞),
1
2.
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49. If  and  are continuous and (2) = 6, then lim [3 () +  () ()] = 36
→2
⇒
3 lim  () + lim  () · lim () = 36 ⇒ 3 (2) + (2) · 6 = 36 ⇒ 9 (2) = 36 ⇒  (2) = 4.
→2
→2
50. (a)  () =
→2
1
1
and () = 2 , so ( ◦ )() =  (()) =  (12 ) = 1 (12 ) = 2 .


(b) The domain of  ◦  is the set of numbers  in the domain of  (all nonzero reals) such that () is in the domain of  (also

 

1
all nonzero reals). Thus, the domain is    6= 0 and 2 6= 0 = { |  6= 0} or (−∞ 0) ∪ (0 ∞). Since  ◦  is

the composite of two rational functions, it is continuous throughout its domain; that is, everywhere except  = 0.
51. (a)  () =
(2 + 1)(2 − 1)
(2 + 1)( + 1)( − 1)
4 − 1
=
=
= (2 + 1)( + 1) [or 3 + 2 +  + 1]
−1
−1
−1
for  6= 1. The discontinuity is removable and () = 3 + 2 +  + 1 agrees with  for  6= 1 and is continuous on .
(b)  () =
(2 −  − 2)
( − 2)( + 1)
3 − 2 − 2
=
=
= ( + 1) [or 2 + ] for  6= 2. The discontinuity
−2
−2
−2
is removable and () = 2 +  agrees with  for  6= 2 and is continuous on .
(c) lim  () = lim [[sin ]] = lim 0 = 0 and lim  () = lim [[sin ]] = lim (−1) = −1, so lim  () does not
→ −
→ −
→ −
→ +
→ +
→ +
→
exist. The discontinuity at  =  is a jump discontinuity.
52.
 does not satisfy the conclusion of the
 does satisfy the conclusion of
Intermediate Value Theorem.
the Intermediate Value Theorem.
53.  () = 2 + 10 sin  is continuous on the interval [31 32],  (31) ≈ 957, and (32) ≈ 1030. Since 957  1000  1030,
there is a number c in (31 32) such that  () = 1000 by the Intermediate Value Theorem. Note: There is also a number c in
(−32 −31) such that  () = 1000
54. Suppose that (3)  6. By the Intermediate Value Theorem applied to the continuous function  on the closed interval [2 3],
the fact that  (2) = 8  6 and (3)  6 implies that there is a number  in (2 3) such that  () = 6. This contradicts the fact
that the only solutions of the equation  () = 6 are  = 1 and  = 4. Hence, our supposition that  (3)  6 was incorrect. It
follows that (3) ≥ 6. But  (3) 6= 6 because the only solutions of  () = 6 are  = 1 and  = 4. Therefore,  (3)  6.
55.  () = −3 + 4 + 1 is continuous on the interval [−1 0], (−1) = −2, and  (0) = 1. Since −2  0  1, there is a
number  in (−1 0) such that  () = 0 by the Intermediate Value Theorem. Thus, there is a solution of the equation
−3 + 4 + 1 = 0 in the interval (−1 0).
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°
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CONTINUITY
¤
115
√
√
√
 is equivalent to the equation ln  −  +  = 0.  () = ln  −  +  is continuous on the
√
√
interval [2 3],  (2) = ln 2 − 2 + 2 ≈ 0107, and  (3) = ln 3 − 3 + 3 ≈ −0169. Since  (2)  0   (3), there is a
56. The equation ln  =  −
number  in (2 3) such that  () = 0 by the Intermediate Value Theorem. Thus, there is a solution of the equation
√
√
ln  −  +  = 0, or ln  =  − , in the interval (2 3).
57. The equation  = 3 − 2 is equivalent to the equation  + 2 − 3 = 0.  () =  + 2 − 3 is continuous on the interval
[0 1],  (0) = −2, and  (1) =  − 1 ≈ 172. Since −2  0   − 1, there is a number  in (0 1) such that  () = 0 by the
Intermediate Value Theorem. Thus, there is a solution of the equation  + 2 − 3 = 0, or  = 3 − 2, in the interval (0 1).
58. The equation sin  = 2 −  is equivalent to the equation sin  − 2 +  = 0.  () = sin  − 2 +  is continuous on the
interval [1 2]  (1) = sin 1 ≈ 084, and  (2) = sin 2 − 2 ≈ −109. Since sin 1  0  sin 2 − 2, there is a number  in
(1 2) such that () = 0 by the Intermediate Value Theorem. Thus, there is a solution of the equation sin  − 2 +  = 0, or
sin  = 2 − , in the interval (1 2).
59. (a)  () = cos  − 3 is continuous on the interval [0 1],  (0) = 1  0, and  (1) = cos 1 − 1 ≈ −046  0. Since
1  0  −046, there is a number  in (0 1) such that  () = 0 by the Intermediate Value Theorem. Thus, there is a
solution of the equation cos  − 3 = 0, or cos  = 3 , in the interval (0 1).
(b)  (086) ≈ 0016  0 and  (087) ≈ −0014  0, so there is a solution between 086 and 087, that is, in the interval
(086 087).
60. (a)  () = ln  − 3 + 2 is continuous on the interval [1 2],  (1) = −1  0, and  (2) = ln 2 + 1 ≈ 17  0. Since
−1  0  17, there is a number  in (1 2) such that  () = 0 by the Intermediate Value Theorem. Thus, there is a
solution of the equation ln  − 3 + 2 = 0, or ln  = 3 − 2, in the interval (1 2).
(b)  (134) ≈ −003  0 and  (135) ≈ 00001  0, so there is a solution between 134 and 135 that is, in the
interval (134 135).
61. (a) Let  () = 100−100 − 0012  Then  (0) = 100  0 and
 (100) = 100−1 − 100 ≈ −632  0. So by the Intermediate
Value Theorem, there is a number  in (0 100) such that  () = 0.
This implies that 100−100 = 0012 .
(b) Using the intersect feature of the graphing device, we find that the
solution of the equation is  = 70347, correct to three decimal
places.
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°
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LIMITS AND DERIVATIVES
62. (a) Let  () = arctan  +  − 1. Then  (0) = −1  0 and
 (1) =

4
 0. So by the Intermediate Value Theorem, there is a
number  in (0 1) such that  () = 0. This implies that
arctan  = 1 − .
(b) Using the intersect feature of the graphing device, we find that the
solution of the equation is  = 0520, correct to three decimal
places.
63. Let  () = sin 3 . Then  is continuous on [1 2] since  is the composite of the sine function and the cubing function, both
of which are continuous on . The zeros of the sine are at , so we note that 0  1    32   2  8  3, and that the
pertinent cube roots are related by 1 
=
√
3
2 are zeros of .]

3
3

2
[call this value ]  2. [By observation, we might notice that  =
√
3
 and
Now (1) = sin 1  0,  () = sin 32  = −1  0, and  (2) = sin 8  0. Applying the Intermediate Value Theorem on
[1 ] and then on [ 2], we see there are numbers  and  in (1 ) and ( 2) such that  () =  () = 0. Thus,  has at
least two ­intercepts in (1 2).
64. Let () = 2 − 3 + 1. Then  is continuous on (0 2] since  is a rational function whose domain is (0 ∞). By
 
 0,  (1) = −1  0, and  (2) = 32  0. Appling the Intermediate Value Theorem on
inspection, we see that  14 = 17
16


1 
 1 and then on [1 2], we see there are numbers  and  in 14  1 and (1 2) such that  () =  () = 0. Thus,  has at
4
least two ­intercepts in (0 2).
65. (⇒) If  is continuous at , then by Theorem 8 with () =  + , we have


lim  ( + ) =  lim ( + ) =  ().
→0
→0
(⇐) Let   0. Since lim ( + ) =  (), there exists   0 such that 0  ||  
→0
⇒
| ( + ) −  ()|  . So if 0  | − |  , then | () −  ()| = | ( + ( − )) −  ()|  .
Thus, lim  () =  () and so  is continuous at .
→
66. lim sin( + ) = lim (sin  cos  + cos  sin ) = lim (sin  cos ) + lim (cos  sin )
→0
→0
=

→0
→0

 


lim sin  lim cos  + lim cos  lim sin  = (sin )(1) + (cos )(0) = sin 
→0
→0
→0
→0
67. As in the previous exercise, we must show that lim cos( + ) = cos  to prove that the cosine function is continuous.
→0
lim cos( + ) = lim (cos  cos  − sin  sin ) = lim (cos  cos ) − lim (sin  sin )
→0
→0
=

→0
→0

 


lim cos  lim cos  − lim sin  lim sin  = (cos )(1) − (sin )(0) = cos 
→0
→0
→0
→0
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°
SECTION 2.5
CONTINUITY
¤
117
68. (a) Since  is continuous at , lim () =  (). Thus, using the Constant Multiple Law of Limits, we have
→
lim ( )() = lim () =  lim  () =  () = ( )(). Therefore,  is continuous at .
→
→
→
(b) Since  and  are continuous at , lim  () =  () and lim () = (). Since () 6= 0, we can use the Quotient Law
→
→
 
 
lim ()
()

()


→
of Limits: lim
=
=
=
() = lim
(). Thus, is continuous at .
→
→ ()

lim ()
()


→
69. Proof of Law 6: Let  be a positive integer. By Theorem 8 with  () =  , we have
lim [()] = lim  (()) = 
→
→

 

lim () = lim ()
→
Proof of Law 7: Let  be a positive integer. By Theorem 8 with  () =
lim
→
→
√

, we have





() = lim  (()) =  lim () =  lim ()
→
→
70. If there is such a number, it satisfies the equation 3 + 1 = 
→
⇔ 3 −  + 1 = 0. Let the left­hand side of this equation be
called  (). Now  (−2) = −5  0, and  (−1) = 1  0. Note also that  () is a polynomial, and thus continuous. So by the
Intermediate Value Theorem, there is a number  between −2 and −1 such that () = 0, so that  = 3 + 1.
71.  () =

0 if  is rational
1 if  is irrational
is continuous nowhere. For, given any number  and any   0, the interval ( −   + )
contains both infinitely many rational and infinitely many irrational numbers. Since  () = 0 or 1, there are infinitely many
numbers  with 0  | − |   and | () −  ()| = 1. Thus, lim () 6=  (). [In fact, lim  () does not even exist.]
→
72. () =

0 if  is rational
 if  is irrational
→
is continuous at 0. To see why, note that − || ≤ () ≤ ||, so by the Squeeze Theorem
lim () = 0 = (0). But  is continuous nowhere else. For if  6= 0 and   0, the interval ( −   + ) contains both
→0
infinitely many rational and infinitely many irrational numbers. Since () = 0 or , there are infinitely many numbers  with
0  | − |   and |() − ()|  || 2. Thus, lim () 6= ().
→
73.  () = 4 sin(1) is continuous on (−∞ 0) ∪ (0 ∞) since it is the product of a polynomial and a composite of a
trigonometric function and a rational function. Now since −1 ≤ sin(1) ≤ 1, we have −4 ≤ 4 sin(1) ≤ 4 . Because
lim (−4 ) = 0 and lim 4 = 0, the Squeeze Theorem gives us lim (4 sin(1)) = 0, which equals (0). Thus,  is
→0
→0
→0
continuous at 0 and, hence, on (−∞ ∞).
74.


+ 3
= 0 ⇒ (3 +  − 2) + (3 + 22 − 1) = 0. Let () denote the left side of the last
3 + 22 − 1
 +−2
equation. Since  is continuous on [−1 1], (−1) = −4  0, and (1) = 2  0, there exists a  in (−1 1) such that
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°
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CHAPTER 2
LIMITS AND DERIVATIVES
() = 0 by the Intermediate Value Theorem. Note that the only solution of either denominator that is in (−1 1) is
√
√
(−1 + 5 )2 = , but () = (3 5 − 9)2 6= 0. Thus,  is not a solution of either denominator, so () = 0 ⇒
 =  is a solution of the given equation.
75. Define () to be the monk’s distance from the monastery, as a function of time  (in hours), on the first day, and define ()
to be his distance from the monastery, as a function of time, on the second day. Let  be the distance from the monastery to
the top of the mountain. From the given information we know that (0) = 0, (12) = , (0) =  and (12) = 0. Now
consider the function  − , which is clearly continuous. We calculate that ( − )(0) = − and ( − )(12) = .
So by the Intermediate Value Theorem, there must be some time 0 between 0 and 12 such that ( − )(0 ) = 0 ⇔
(0 ) = (0 ). So at time 0 after 7:00 AM, the monk will be at the same place on both days.
76. (a) lim  () = 0 and lim  () = 0, so lim  () = 0, which is  (0), and hence  is continuous at  =  if  = 0.
→0−
→0+
→0
For   0, lim  () = lim  =  =  (). For   0, lim  () = lim (−) = − =  (). Thus,  is continuous at
→
→
→
→
 = ; that is, continuous everywhere.




(b) Assume that  is continuous on the interval . Then for  ∈ , lim |()| =  lim  () = | ()| by Theorem 8. (If  is
→
→
an endpoint of , use the appropriate one­sided limit.) So | | is continuous on .
(c) No, the converse is false. For example, the function () =

1 if  ≥ 0
−1 if   0
is not continuous at  = 0, but |()| = 1 is
continuous on .
2.6 Limits at Infinity; Horizontal Asymptotes
1. (a) As  becomes large, the values of  () approach 5.
(b) As  becomes large negative, the values of  () approach 3.
2. (a) The graph of a function can intersect a
The graph of a function can intersect a horizontal asymptote.
vertical asymptote in the sense that it can
It can even intersect its horizontal asymptote an infinite
meet but not cross it.
number of times.
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°
SECTION 2.6
LIMITS AT INFINITY; HORIZONTAL ASYMPTOTES
¤
119
(b) The graph of a function can have 0, 1, or 2 horizontal asymptotes. Representative examples are shown.
No horizontal asymptote
3. (a) lim  () = −2
(b) lim  () = 2
→∞
→1
(e) Vertical:  = 1,  = 3; horizontal:  = −2,  = 2
→3
4. (a) lim () = 2
→∞
(b) lim () = −1
(c) lim () = −∞
(e) lim () = ∞
(f ) Vertical:  = 0,  = 2;
→−∞
(d) lim () = −∞
→2−
(−2) = −4,
→0
→2+
lim  () = 0,
→−∞
horizontal:  = −1,  = 2
6.  (0) = 0,
lim  () = 2
→0
lim  () = ∞,
→3+
lim  () = −1
→∞
lim () = ∞,
→1−
lim  () = −2,
→∞
7. lim  () = ∞,
Two horizontal asymptotes
(c) lim  () = ∞
→−∞
(d) lim  () = −∞
5.  (2) = 4,
One horizontal asymptote
→−∞
lim  () = −∞,
→3−
lim () = 1,
→−∞
8.
lim  () = −∞,
→−∞
lim  () = −∞,
→−2+
lim  () = −∞,
→1+
lim () = −2
→∞
lim () = ∞,
→−2−
lim  () = ∞,
→2
lim  () = ∞
→∞
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CHAPTER 2
9.  (0) = 0,
LIMITS AND DERIVATIVES
lim  () = −∞,
lim  () = −∞,
→1
→∞
 is odd
10.
lim  () = −1,
→0−
lim () = −∞,
→3−
→−∞
→0+
lim () = 4,
→3+
lim  () = ∞,
lim () = 1,  (3) = 4,
lim  () = 1
→∞
11. If  () = 22 , then a calculator gives (0) = 0,  (1) = 05, (2) = 1,  (3) = 1125,  (4) = 1,  (5) = 078125,
 (6) = 05625,  (7) = 03828125,  (8) = 025,  (9) = 0158203125, (10) = 009765625,  (20) ≈ 000038147,


 (50) ≈ 22204 × 10−12 ,  (100) ≈ 78886 × 10−27 . It appears that lim 22 = 0.
→∞
12. (a) From a graph of () = (1 − 2) in a window of [0 10,000] by [0 02], we estimate that lim  () = 014
→∞
(to two decimal places).
(b)
From the table, we estimate that lim  () = 01353 (to four decimal places).
→∞

 ()
10,000
100,000
1,000,000
0135 308
0135 333
0135 335
[Divide both the numerator and denominator by 2
22 − 7
(22 − 7)2
= lim
2
→∞ 5 +  − 3
→∞ (52 +  − 3)2
13. lim
=
(the highest power of  that appears in the denominator)]
lim (2 − 72 )
→∞
[Limit Law 5]
lim (5 + 1 − 32 )
→∞
=
lim 2 − lim (72 )
→∞
→∞
=
→∞
lim 5 + lim (1) − lim (32 )
→∞
2 − 7 lim (12 )
→∞
5 + lim (1) − 3 lim (12 )
→∞
=
2 − 7(0)
5 + 0 + 3(0)
=
2
5
[Limit Laws 1 and 2]
→∞
[Limit Laws 8 and 3]
→∞
[Theorem 5]
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°
SECTION 2.6
14. lim
→∞

93 + 8 − 4
=
3 − 5 + 3

LIMITS AT INFINITY; HORIZONTAL ASYMPTOTES
93 + 8 − 4
→∞ 3 − 5 + 3

9 + 82 − 43
lim
=
→∞ 33 − 52 + 1

 lim (9 + 82 − 43 )
 →∞
=
lim (33 − 52 + 1)
[Limit Law 7]
lim
[Divide by 3 ]
[Limit Law 5]
→∞

 lim 9 + lim (82 ) − lim (43 )
 →∞
→∞
→∞
=
lim (33 ) − lim (52 ) + lim 1
→∞
→∞
[Limit Laws 1 and 2]
→∞

 9 + 8 lim (12 ) − 4 lim (13 )

→∞
→∞
=
3 lim (13 ) − 5 lim (12 ) + 1
→∞
=

=

[Limit Laws 8 and 3]
→∞
9 + 8(0) − 4(0)
3(0) − 5(0) + 1
[Theorem 5]
9 √
= 9=3
1
lim 4 + 3 lim (1)
4 + 3(0)
4
4 + 3
(4 + 3)
4 + 3
→∞
→∞
= lim
= lim
=
=
=
→∞ 5 − 1
→∞ (5 − 1)
→∞ 5 − 1
lim 5 − lim (1)
5−0
5
15. lim
→∞
→∞
−2 lim (1)
0
−2
−2
−2
→∞
= lim
= lim
=
=
=0
→∞ 3 + 7
→∞ (3 + 7)
→∞ 3 + 7
lim 3 + 7 lim (1)
3+0
16. lim
→∞
17.
→∞
32 + 
(32 + )3
3 + 12
=
lim
=
lim
→−∞ 3 − 4 + 1
→−∞ (3 − 4 + 1)3
→−∞ 1 − 42 + 13
lim
3 lim (1) + lim (12 )
=
→−∞
→−∞
18.
→−∞
lim 1 − 4 lim (12 ) + lim (13 )
→−∞
→−∞
=
3(0) + 0
=0
1 − 4(0) + 0
6+0−0
62 +  − 5
(62 +  − 5)2
6 + 1 − 52
=
= −3
= lim
= lim
2
2
2
→−∞
→−∞
→−∞
9 − 2
(9 − 2 )
92 − 2
0−2
lim
0−1
1
 − 3
( − 3 )3
12 − 1
=
=−
= lim
= lim
2
3
2
3
3
→∞ 2 −  + 3
→∞ (2 −  + 3 )
→∞ 23 − 1 + 3
0−0+3
3
19. lim
3
3−0+0
33 − 8 + 2
(33 − 8 + 2)3
3 − 82 + 23
= lim
=
= lim
=
3
2
3
2
3
→∞ 4 − 5 − 2
→∞ (4 − 5 − 2)
→∞ 4 − 5 − 23
4−0−0
4
20. lim
√
√
√
√
0−1
4− 
(4 − )  
4  − 1
√ = lim
√
√ = lim
√
=
= −1
→∞ 2 +
0+1
 →∞ (2 + )   →∞ 2  + 1
21. lim
22.
lim
→−∞
 2


 + 1 22 − 1
(2 + 2)2
= lim
 2


 + 1 22 − 1 4
 2



 + 1 2 (22 − 1)2
→−∞
(4 + 42 + 4) 4
= lim
(2 + 2)2 4


1 + 12 (2 − 12 )
(1 + 0)(2 − 0)
=
=2
= lim
→−∞
(1 + 42 + 44 )
1+0+0
→−∞
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°
¤
121
122
¤
CHAPTER 2
LIMITS AND DERIVATIVES

√
√
lim ( + 32 )2
 + 32
 + 32 
→∞
= lim
=
23. lim
→∞
→∞ (4 − 1)
4 − 1
lim (4 − 1)
[since  =
√
2 for   0]
→∞

lim
1 + 3
→∞
=
=
lim 4 − lim (1)
→∞
→∞

lim (1) + lim 3
→∞
→∞
4−0
√
√
0+3
3
=
4
4


√
since  = 2 for   0
+3
( + 3)
1 + 3
= lim √
= lim 
22 − 1 →∞ 22 − 1 →∞ 2 − 12
24. lim √
→∞
=
√
lim (1 + 3)
lim 1 + lim (3)
1
2
1+0
→∞
→∞

= √ , or
=
= 
= √
2
2
2
2
−
0
2
lim 2 − 1
lim 2 − lim (1 )
→∞
→∞
→∞
→∞

√
√
lim
(1 + 46 )6
1 + 46
1 + 46 3
→∞
25. lim
=
lim
=
→∞
→∞ (2 − 3 )3
2 − 3
lim (23 − 1)
→∞

lim 16 + 4
→∞
=
lim (23 ) − lim 1
→∞
=
→∞

26.
lim
→−∞
√
√
1 + 46
1 + 46 3
=
lim
=
→−∞ (2 − 3 )3
2 − 3
=
→−∞
→−∞
− lim 1
→−∞
√
− 0+4
−2
=
=
=2
−1
−1
27.
→∞
0−1

lim − (1 + 46 )6

lim − 16 + 4
2 lim (13 )
→−∞
lim (16 ) + lim 4
→∞
√
2
0+4
=
=
= −2
−1
−1


√
since 3 = 6 for   0
lim (23 − 1)
→−∞
=

−
lim (16 ) + lim 4
→−∞


√
since 3 = − 6 for   0
→−∞
2(0) − 1
 5

2 −  4
25 − 
2 − 13
=
lim
= lim
4
4
4
→−∞  + 3
→−∞ ( + 3) 
→−∞ 1 + 34
lim
= −∞ since 2 − 13 → −∞ and 1 + 34 → 1 as  → −∞
 3

 + 6 − 4 2
 3 + 6 − 4
 + 6 − 42
=
lim
= lim
→∞ 4 2 − 3 + 3
→∞ (4 2 − 3 + 3)  2
→∞ 4 − 3 + 3 2
28. lim
= ∞ since  + 6 − 42 → ∞ and 4 − 3 + 3 + 32 → 4 as  → ∞
 2

√ 2

√
√


25 + 2 − (5)2
25 + 2 + 5
2
2
29. lim
25 + 2 − 5 = lim
25 + 2 − 5 √
= lim √
→∞
→∞
→∞
252 + 2 + 5
252 + 2 + 5
2
2

= lim √
= lim √
→∞
252 + 2 + 5 →∞
252 + 2 + 5 
2
= lim 
→∞
25 + 22 + 5
[since  =
√
2 for   0]
0
=0
= √
25 + 0 + 5
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°
SECTION 2.6
LIMITS AT INFINITY; HORIZONTAL ASYMPTOTES
¤
123
 2


√ 2
√
√


4 + 3 − (2)2
4 + 3 − 2
√
= lim
30. lim
42 + 3 + 2 = lim
42 + 3 + 2 √
→−∞
→−∞
→−∞
42 + 3 − 2
42 + 3 − 2
3
3

= lim √
= lim √
→−∞
42 + 3 − 2 →−∞
42 + 3 − 2 


√
3

since  = − 2 for   0
= lim
→−∞ −
4 + 3 − 2
3
3
=−
= √
4
− 4+0−2
31. lim
→∞
√
√

2 +  − 2 +  = lim
→∞
√
√
√
 √

2 +  − 2 + 
2 +  + 2 + 
√
√
2 +  + 2 + 
(2 + ) − (2 + )
[( − )]
√
= lim √
= lim √
√
 √
2
2
2
→∞
→∞
 +  +  + 
 +  + 2 +   2
−
−
−

√
=
= lim 
= √
→∞
2
1+0+ 1+0
1 +  + 1 + 
√ 2




2 −

√ 
√   + √
2 − 
(2 − )
√
√ = lim 
√
= lim
32. lim  −  = lim  − 
= lim
√ 
→∞
→∞
→∞
→∞  +
+ 
+ 
 →∞  +  
√
−1
√ = ∞ since  − 1 → ∞ and 1 + 1  → 1 as  → ∞
→∞ 1 + 1 
= lim
33.
2
7
7
lim ( + 2 ) = lim 
→−∞
→−∞


1
+2
[factor out the largest power of ] = −∞ because 7 → −∞ and
5
15 + 2 → 2 as  → −∞.




Or: lim 2 + 27 = lim 2 1 + 25 = −∞.
→−∞
→−∞
34. lim (− + 2 cos 3) does not exist. lim − = 0, but lim (2 cos 3) does not exist because the values of 2 cos 3
→∞
→∞
→∞
oscillate between the values of −2 and 2 infinitely often, so the given limit does not exist.
35. Since −1 ≤ cos  ≤ 1 and −2  0, we have −−2 ≤ −2 cos  ≤ −2 . We know that lim (−−2 ) = 0 and
→∞


lim −2 = 0, so by the Squeeze Theorem, lim (−2 cos ) = 0.
→∞
→∞
36. Since 0 ≤ sin2  ≤ 1, we have 0 ≤
1
sin2 
1
≤ 2
. We know that lim 0 = 0 and lim 2
= 0, so by the Squeeze
→∞
→∞  + 1
2 + 1
 +1
sin2 
= 0.
→∞ 2 + 1
Theorem, lim
0−1
1
1 − 
(1 −  )
1 − 1
=
=−
=
lim
=
lim
→∞ 1 + 2
→∞ (1 + 2 )
→∞ 1 + 2
0+2
2
37. lim
1−0
3 − −3
1 − −6
=1
=
lim
=
→∞ 3 + −3
→∞ 1 + −6
1+0
38. Divide numerator and denominator by 3 : lim
39.
lim
→(2)+
sec  = 0 since sec  → −∞ as  → (2)+ .
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
124
¤
CHAPTER 2
LIMITS AND DERIVATIVES
40. Let  = ln . As  → 0+ ,  → −∞. lim tan−1 (ln ) = lim tan−1  = − 2 by (4).
→−∞
→0+
41. lim [ln(1 + 2 ) − ln(1 + )] = lim ln
→∞
→∞
parentheses is ∞.
42. lim [ln(2 + ) − ln(1 + )] = lim ln
→∞
→∞
1 + 2
= ln
1+

2+
1+


1 + 2
→∞ 1 + 
lim
= lim ln
→∞


2 + 1
1 + 1
= ln


1

→∞ 1

lim
= ln
+
+1

= ∞, since the limit in
1
= ln 1 = 0
1

= 0 since  → 0+ and ln  → −∞ as  → 0+ .
ln 

= −∞ since  → 1 and ln  → 0− as  → 1− .
(ii) lim  () = lim
→1−
→1− ln 

= ∞ since  → 1 and ln  → 0+ as  → 1+ .
(iii) lim  () = lim
+
+
ln

→1
→1
43. (a) (i) lim  () = lim
→0+
→0+
(c)
(b)

 ()
10,000
10857
100,000
86859
1,000,000
72,3824
It appears that lim () = ∞.
→∞


1
2
1
2
−
= 0 since → 0 and
→ 0 as  → ∞.
→∞
→∞
 ln 

ln 


2
1
2
1
−
= ∞ since → ∞ and
→ 0 as  → 0+ .
(ii) lim  () = lim

ln 

ln 
→0+
→0+


1
2
1
2
−
= ∞ since → 2 and
→ −∞ as  → 1− .
(iii) lim  () = lim

ln 

ln 
→1−
→1−


2
1
2
1
−
= −∞ since → 2 and
→ ∞ as  → 1+ .
(iv) lim  () = lim

ln 

ln 
→1+
→1+
44. (a) (i) lim  () = lim
(b)
(b)
45. (a)

−10,000
−0499 962 5
−1,000,000
−0499 999 6
−100,000
From the graph of  () =
√
2 +  + 1 + , we
 ()
−0499 996 2
From the table, we estimate the limit to be −05.
estimate the value of lim  () to be −05.
→−∞
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 2.6
LIMITS AT INFINITY; HORIZONTAL ASYMPTOTES
¤
125
 2


√ 2
√
√


 +  + 1 − 2
 ++1−
= lim √
(c) lim
2 +  + 1 +  = lim
2 +  + 1 +  √
→−∞
→−∞
→−∞
2 +  + 1 − 
2 +  + 1 − 
( + 1)(1)
1 + (1)


= lim
= lim √
→−∞
2 +  + 1 −  (1) →−∞ − 1 + (1) + (12 ) − 1
=
Note that for   0, we have
46. (a)
1
1+0
√
=−
2
− 1+0+0−1
√
2 = || = −, so when we divide the radical by , with   0, we get

1 √ 2
1√ 2
 +  + 1 = −√
 +  + 1 = − 1 + (1) + (12 ).
2


(b)

From the graph of
√
√
 () = 32 + 8 + 6 − 32 + 3 + 1, we estimate
 ()
10,000
1443 39
100,000
1443 38
1,000,000
1443 38
From the table, we estimate (to four decimal
places) the limit to be 14434.
(to one decimal place) the value of lim  () to be 14.
→∞
√
√
√
√

32 + 8 + 6 − 32 + 3 + 1
32 + 8 + 6 + 32 + 3 + 1
√
√
(c) lim  () = lim
→∞
→∞
32 + 8 + 6 + 32 + 3 + 1
 2
 

3 + 8 + 6 − 32 + 3 + 1
(5 + 5)(1)
√
√

= lim √
= lim √
→∞
→∞
32 + 8 + 6 + 32 + 3 + 1
32 + 8 + 6 + 32 + 3 + 1 (1)
√
5
5 + 5
5
5 3

√ = √ =
≈ 1443376
= lim 
= √
→∞
6
3+ 3
2 3
3 + 8 + 62 + 3 + 3 + 12
47.
lim
→±∞
0+4
5 + 4
(5 + 4)
5 + 4
= lim
= lim
=
= 4, so
→±∞ ( + 3)
→±∞ 1 + 3
+3
1+0
 = 4 is a horizontal asymptote.  =  () =
5 + 4
, so lim  () = −∞
+3
→−3+
since 5 + 4 → −7 and  + 3 → 0+ as  → −3+ . Thus,  = −3 is a vertical
asymptote. The graph confirms our work.
48.
lim
22 + 1
(22 + 1)2
= lim
+ 2 − 1 →±∞ (32 + 2 − 1)2
→±∞ 32
2
2 + 12
=
→±∞ 3 + 2 − 12
3
= lim
so  =
22 + 1
22 + 1
2
is a horizontal asymptote.  =  () = 2
=
.
3
3 + 2 − 1
(3 − 1)( + 1)
The denominator is zero when  =
1
3
and −1, but the numerator is nonzero, so  =
1
3
and  = −1 are vertical asymptotes.
The graph confirms our work.
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°
126
¤
CHAPTER 2
LIMITS AND DERIVATIVES
22 +  − 1
2
2+
2 +  − 1
2
= lim
49. lim
= lim
→±∞ 2 +  − 2
→±∞ 2 +  − 2
→±∞
1+
2
1
1
lim 2 + lim
− lim
→±∞
→±∞ 
→±∞ 2
=
1
1
− 2 lim
lim 1 + lim
→±∞
→±∞ 
→±∞ 2
 =  () =
1
1
− 2

 =
2
1
− 2


=


1
1
2+ − 2
→±∞
 


2
1
1+ − 2
lim
→±∞
 
lim
2+0−0
= 2, so  = 2 is a horizontal asymptote.
1 + 0 − 2(0)
(2 − 1)( + 1)
22 +  − 1
=
, so lim () = ∞,
2 +  − 2
( + 2)( − 1)
→−2−
lim  () = −∞, lim  () = −∞, and lim  () = ∞. Thus,  = −2
→1−
→−2+
→1+
and  = 1 are vertical asymptotes. The graph confirms our work.
1 + 4
50. lim
= lim
→±∞ 2 − 4
→±∞
=
 =  () =
1 + 4
4
= lim
2
→±∞
 − 4
4

1
+1
4
=
1
−
1
2


1
+
1
→±∞
4

 =
1
lim
−
1
→±∞
2
lim
1
+ lim 1
4 →±∞
1
lim
− lim 1
→±∞ 2
→±∞
lim
→±∞
0+1
= −1, so  = −1 is a horizontal asymptote.
0−1
1 + 4
1 + 4
1 + 4
=
. The denominator is
=
2 − 4
2 (1 − 2 )
2 (1 + )(1 − )
zero when  = 0, −1, and 1, but the numerator is nonzero, so  = 0,  = −1, and
 = 1 are vertical asymptotes. Notice that as  → 0, the numerator and
denominator are both positive, so lim  () = ∞. The graph confirms our work.
→0
51.  =  () =
2
(2 − 1)
( + 1)( − 1)
( + 1)
3 − 
=
=
=
= () for  6= 1.
− 6 + 5
( − 1)( − 5)
( − 1)( − 5)
−5
The graph of  is the same as the graph of  with the exception of a hole in the
graph of  at  = 1. By long division, () =
30
2 + 
=+6+
.
−5
−5
As  → ±∞, () → ±∞, so there is no horizontal asymptote. The denominator
of  is zero when  = 5. lim () = −∞ and lim () = ∞, so  = 5 is a
→5−
→5+
vertical asymptote. The graph confirms our work.
52. lim
→∞
1
2
2
2
2
= lim 
·
=
= 2, so  = 2 is a horizontal asymptote.
= lim
→∞
→∞ 1 − (5 )
−5
 − 5 1
1−0

2(0)
2
=
= 0, so  = 0 is a horizontal asymptote. The denominator is zero (and the numerator isn’t)
→−∞  − 5
0−5
lim
when  − 5 = 0
⇒
 = 5
⇒
 = ln 5.
[continued]
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°
SECTION 2.6
lim
→(ln 5)+
LIMITS AT INFINITY; HORIZONTAL ASYMPTOTES
¤
127
2
= ∞ since the numerator approaches 10 and the denominator
 − 5
approaches 0 through positive values as  → (ln 5)+ . Similarly,
lim
2
= −∞. Thus,  = ln 5 is a vertical asymptote. The graph
−5

→(ln 5)− 
confirms our work.
53. From the graph, it appears  = 1 is a horizontal asymptote.
3
lim
→±∞
2
3 + 500
= lim
3 + 5002 + 100 + 2000 →±∞
= lim
→±∞
=
33 + 5002
3
3
2
 + 500 + 100 + 2000
3
3 + (500)
1 + (500) + (1002 ) + (20003 )
3+0
= 3, so  = 3 is a horizontal asymptote.
1+0+0+0
The discrepancy can be explained by the choice of the viewing window. Try
[−100,000 100,000] by [−1 4] to get a graph that lends credibility to our
calculation that  = 3 is a horizontal asymptote.
54. (a)
From the graph, it appears at first that there is only one horizontal asymptote, at  ≈ 0 and a vertical asymptote at
 ≈ 17. However, if we graph the function with a wider and shorter viewing rectangle, we see that in fact there seem to be
two horizontal asymptotes: one at  ≈ 05 and one at  ≈ −05. So we estimate that
√
22 + 1
≈ 05
→∞ 3 − 5
√
22 + 1
≈ −05
→−∞ 3 − 5
√
22 + 1
(b)  (1000) ≈ 04722 and (10,000) ≈ 04715, so we estimate that lim
≈ 047.
→∞ 3 − 5
√
22 + 1
≈ −047.
 (−1000) ≈ −04706 and (−10,000) ≈ −04713, so we estimate that lim
→−∞ 3 − 5

√
√
√
2 + 12
22 + 1
2
2
(c) lim
= lim
[since  =  for   0] =
≈ 0471404.
→∞ 3 − 5
→∞
3 − 5
3
√
For   0, we have 2 = || = −, so when we divide the numerator by , with   0, we
lim
and
lim
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°
128
¤
CHAPTER 2
LIMITS AND DERIVATIVES

1√ 2
1 √ 2
2 + 1 = − √
2 + 1 = − 2 + 12 . Therefore,
2



√
√
2
− 2 + 12
2 + 1
2
= lim
=−
≈ −0471404.
lim
→−∞ 3 − 5
→−∞
3 − 5
3
get
55. Divide the numerator and the denominator by the highest power of  in ().
(a) If deg   deg , then the numerator → 0 but the denominator doesn’t. So lim [ ()()] = 0.
→∞
(b) If deg   deg , then the numerator → ±∞ but the denominator doesn’t, so lim [ ()()] = ±∞
→∞
(depending on the ratio of the leading coefficients of  and ).
56.
(i)  = 0
(ii)   0 ( odd)
(iii)   0 ( even)
From these sketches we see that

1 if  = 0


(a) lim  = 0 if   0

→0+

∞ if   0

1 if  = 0



(c) lim  = ∞ if   0
→∞


0 if   0
57. Let’s look for a rational function.
(1)
(b) lim  =
(iv)   0 ( odd)






1 if  = 0
0 if   0

−∞




∞

1




−∞
(d) lim  =
→−∞

∞




0
→0−
(v)   0 ( even)
if   0,  odd
if   0,  even
if  = 0
if   0,  odd
if   0,  even
if   0
lim () = 0 ⇒ degree of numerator  degree of denominator
→±∞
(2) lim  () = −∞ ⇒ there is a factor of 2 in the denominator (not just , since that would produce a sign
→0
change at  = 0), and the function is negative near  = 0.
(3) lim  () = ∞ and lim () = −∞ ⇒ vertical asymptote at  = 3; there is a factor of ( − 3) in the
→3−
→3+
denominator.
(4)  (2) = 0 ⇒ 2 is an ­intercept; there is at least one factor of ( − 2) in the numerator.
Combining all of this information and putting in a negative sign to give us the desired left­ and right­hand limits gives us
 () =
2−
as one possibility.
2 ( − 3)
58. Since the function has vertical asymptotes  = 1 and  = 3, the denominator of the rational function we are looking for must
have factors ( − 1) and ( − 3). Because the horizontal asymptote is  = 1, the degree of the numerator must equal the
degree of the denominator, and the ratio of the leading coefficients must be 1. One possibility is  () =
2
.
( − 1)( − 3)
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°
SECTION 2.6
LIMITS AT INFINITY; HORIZONTAL ASYMPTOTES
¤
129
59. (a) We must first find the function  . Since  has a vertical asymptote  = 4 and ­intercept  = 1,  − 4 is a factor of the
denominator and  − 1 is a factor of the numerator. There is a removable discontinuity at  = −1, so  − (−1) =  + 1 is
a factor of both the numerator and denominator. Thus,  now looks like this:  () =
be determined. Then lim  () = lim
→−1
 = 5. Thus  () =
 (0) =
→−1
( − 1)( + 1)
, where  is still to
( − 4)( + 1)
(−1 − 1)
2
2
( − 1)( + 1)
( − 1)
= lim
=
= , so  = 2, and
→−1  − 4
( − 4)( + 1)
(−1 − 4)
5
5
5( − 1)( + 1)
is a ratio of quadratic functions satisfying all the given conditions and
( − 4)( + 1)
5(−1)(1)
5
= .
(−4)(1)
4
(b) lim  () = 5 lim
→∞ 2
→∞
(2 2 ) − (12 )
1−0
2 − 1
= 5 lim
=5
= 5(1) = 5
2
→∞ ( 2 ) − (32 ) − (42 )
− 3 − 4
1−0−0
60.  =  () = 23 − 4 = 3 (2 − ).
The ­intercept is (0) = 0. The
­intercepts are 0 and 2. There are sign changes at 0 and 2 (odd exponents on 
and 2 − ). As  → ∞,  () → −∞ because 3 → ∞ and 2 −  → −∞. As
 → −∞,  () → −∞ because 3 → −∞ and 2 −  → ∞. Note that the graph
of  near  = 0 flattens out (looks like  = 3 ).
61.  =  () = 4 − 6 = 4 (1 − 2 ) = 4 (1 + )(1 − ).
The ­intercept is
 (0) = 0. The ­intercepts are 0, −1, and 1 [found by solving  () = 0 for ].
Since 4  0 for  6= 0,  doesn’t change sign at  = 0. The function does change
sign at  = −1 and  = 1. As  → ±∞,  () = 4 (1 − 2 ) approaches −∞
because 4 → ∞ and (1 − 2 ) → −∞.
62.  =  () = 3 ( + 2)2 ( − 1).
The ­intercept is  (0) = 0. The ­intercepts
are 0, −2, and 1. There are sign changes at 0 and 1 (odd exponents on  and
 − 1). There is no sign change at −2. Also,  () → ∞ as  → ∞ because all
three factors are large. And  () → ∞ as  → −∞ because 3 → −∞,
( + 2)2 → ∞, and ( − 1) → −∞. Note that the graph of  at  = 0 flattens out
(looks like  = −3 ).
63.  =  () = (3 − )(1 + )2 (1 − )4 .
The ­intercept is  (0) = 3(1)2 (1)4 = 3.
The ­intercepts are 3, −1, and 1. There is a sign change at 3, but not at −1 and 1.
When  is large positive, 3 −  is negative and the other factors are positive, so
lim  () = −∞. When  is large negative, 3 −  is positive, so
→∞
lim () = ∞.
→−∞
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°
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CHAPTER 2
LIMITS AND DERIVATIVES
64.  =  () = 2 (2 − 1)2 ( + 2) = 2 ( + 1)2 ( − 1)2 ( + 2).
The
­intercept is  (0) = 0. The ­intercepts are 0, −1, 1 and −2. There is a sign
change at −2, but not at 0, −1, and 1. When  is large positive, all the factors are
positive, so lim  () = ∞. When  is large negative, only  + 2 is negative, so
→∞
lim () = −∞.
→−∞
sin 
1
1
≤
≤ for   0. As  → ∞, −1 → 0 and 1 → 0, so by the Squeeze



sin 
= 0.
Theorem, (sin ) → 0. Thus, lim
→∞

65. (a) Since −1 ≤ sin  ≤ 1 for all  −
(b) From part (a), the horizontal asymptote is  = 0. The function
 = (sin ) crosses the horizontal asymptote whenever sin  = 0;
that is, at  =  for every integer . Thus, the graph crosses the
asymptote an infinite number of times.
66. (a) In both viewing rectangles,
lim  () = lim () = ∞ and
→∞
→∞
lim  () = lim () = −∞.
→−∞
→−∞
In the larger viewing rectangle,  and 
become less distinguishable.


5 1
2 1
 ()
35 − 53 + 2
1
−
= 1 − 53 (0) + 23 (0) = 1 ⇒
= lim
·
·
=
lim
+
→∞ ()
→∞
→∞
35
3 2
3 4
(b) lim
 and  have the same end behavior.
√
√
1 
5
5 
5
· √ = lim 
= 5 and
= √
→∞
 − 1 1 
1−0
1 − (1)
67. lim √
→∞
√
10 − 0
10 − 21
5 
10 − 21 1
10 − (21 )
√
,
=
=
5.
Since
·
=
lim


()

→∞
→∞
2
1
2
2
2
−1
lim
we have lim () = 5 by the Squeeze Theorem.
→∞
68. (a) After  minutes, 25 liters of brine with 30 g of salt per liter has been pumped into the tank, so it contains
(5000 + 25) liters of water and 25 · 30 = 750 grams of salt. Therefore, the salt concentration at time  will be
() =
30 g
750
=
.
5000 + 25
200 +  L
(b) lim () = lim
→∞
→∞
30
30
30
= lim
=
= 30. So the salt concentration approaches that of the brine
200 +  →∞ 200 + 
0+1
being pumped into the tank.
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°
SECTION 2.6
LIMITS AT INFINITY; HORIZONTAL ASYMPTOTES
¤
131


∗
=  ∗ (1 − 0) =  ∗
69. (a) lim () = lim  ∗ 1 − −
→∞
→∞
(b) We graph () = 1 − −98 and () = 099 ∗ , or in this case,
() = 099. Using an intersect feature or zooming in on the point of
intersection, we find that  ≈ 047 s.
70. (a)  = −10 and  = 01 intersect at 1 ≈ 2303.
If   1 , then −10  01.
(b) −10  01 ⇒ −10  ln 01 ⇒
1
  −10 ln 10
= −10 ln 10−1 = 10 ln 10 ≈ 2303
71. Let () =
32 + 1
and  () = |() − 15|. Note that
22 +  + 1
lim () =
→∞
3
2
and lim () = 0. We are interested in finding the
→∞
­value at which  ()  005. From the graph, we find that  ≈ 14804,
so we choose  = 15 (or any larger number).
72. We want to find a value of  such that   


 1 − 3


⇒ √
− (−3)  , or equivalently,
2
 +1
1 − 3
1 − 3
−3 −   √
 −3 + . When  = 01, we graph  =  () = √
,  = −31, and  = −29. From the graph,
2
 +1
2 + 1
we find that () = −29 at about  = 11283, so we choose  = 12 (or any larger number). Similarly for  = 005, we find
that () = −295 at about  = 21379, so we choose  = 22 (or any larger number).

 1 − 3


1 − 3
− 3  , or equivalently, 3 −   √
 3 + . When  = 01,
73. We want a value of  such that    ⇒  √
2 + 1
2 + 1
1 − 3
we graph  =  () = √
,  = 31, and  = 29. From the graph, we find that  () = 31 at about  = −8092, so we
2 + 1
choose  = −9 (or any lesser number). Similarly for  = 005, we find that  () = 305 at about  = −18338, so we
choose  = −19 (or any lesser number).
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°
132
¤
CHAPTER 2
LIMITS AND DERIVATIVES
74. We want to find a value of  such that   
We graph  =  () =
⇒
√
 ln   100.
√
 ln  and  = 100. From the graph, we find
that () = 100 at about  = 1382773, so we choose  = 1383 (or
any larger number).
75. (a) 12  00001
⇔ 2  100001 = 10 000 ⇔   100 (  0)
√
√
(b) If   0 is given, then 12   ⇔ 2  1 ⇔   1 . Let  = 1 .


1

1
1
1
⇒  2 − 0 = 2  , so lim 2 = 0.
Then    ⇒   √
→∞ 



√
√
76. (a) 1   00001 ⇔
  100001 = 104 ⇔   108
√
√
(b) If   0 is given, then 1    ⇔
  1 ⇔   12 . Let  = 12 .



 1
1
1
1
Then    ⇒   2 ⇒  √ − 0 = √  , so lim √ = 0.
→∞




77. For   0, |1 − 0| = −1. If   0 is given, then −1  
Take  = −1. Then   
⇒   −1 ⇒ |(1) − 0| = −1  , so lim (1) = 0.
→−∞
78. Given   0, we need   0 such that   
 =
√
3

⇔   −1.
√
√
3
, so take  = 3 . Then
⇒ 3  . Now 3  
⇔ 
⇒   . Now   
⇔   ln , so take
⇒ 3  , so lim 3 = ∞.
→∞
79. Given   0, we need   0 such that   
 = max(1 ln ). (This ensures that   0.) Then    = max(1 ln ) ⇒   max( ) ≥ ,
so lim  = ∞.
→∞
80. Definition Let  be a function defined on some interval (−∞ ). Then lim () = −∞ means that for every negative
→−∞
number  there is a corresponding negative number  such that ()   whenever   .


Now we use the definition to prove that lim 1 + 3 = −∞. Given a negative number , we need a negative number
→−∞
√
 such that    ⇒ 1 + 3  . Now 1 + 3   ⇔ 3   − 1 ⇔   3  − 1. Thus, we take


√
 = 3  − 1 and find that    ⇒ 1 + 3  . This proves that lim 1 + 3 = −∞.
→−∞
81. (a) Suppose that lim  () = . Then for every   0 there is a corresponding positive number  such that | () − |  
→∞
whenever   . If  = 1, then   
⇔ 0  1  1
⇔
0    1. Thus, for every
  0 there is a corresponding   0 (namely 1) such that | (1) − |   whenever 0    . This proves that
lim (1) =  = lim ().
→0+
→∞
Now suppose that lim () = . Then for every   0 there is a corresponding negative number  such that
→−∞
| () − |   whenever   . If  = 1, then   
⇔ 1  1  0 ⇔ 1    0. Thus, for every
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°
SECTION 2.7
DERIVATIVES AND RATES OF CHANGE
¤
133
  0 there is a corresponding   0 (namely −1) such that | (1) − |   whenever −    0. This proves that
lim  (1) =  = lim  ().
→−∞
→0−
(b) lim  sin
→0+
1
1
= lim  sin
 →0+

[let  = ]
= lim
1
sin 

[part (a) with  = 1]
= lim
sin 

[let  = ]
→∞
→∞
=0
[by Exercise 65]
2.7 Derivatives and Rates of Change
1. (a) This is just the slope of the line through two points:   =
 () −  (3)
∆
=
.
∆
−3
(b) This is the limit of the slope of the secant line   as  approaches  :  = lim
→3
() −  (3)
.
−3
2. The curve looks more like a line as the viewing rectangle gets smaller.
3. (a) (i) Using Definition 1 with  () = 2 + 3 and  (−1 −2), the slope of the tangent line is
 = lim
→
() − ()
(2 + 3) − (−2)
2 + 3 + 2
( + 2)( + 1)
= lim
= lim
= lim
→−1
→−1
→−1
−
 − (−1)
+1
+1
= lim ( + 2) = −1 + 2 = 1
→−1
(ii) Using Equation 2 with  () = 2 + 3 and  (−1 −2), the slope of the tangent line is


(−1 + )2 + 3(−1 + ) − (−2)
 ( + ) − ()
 (−1 + ) −  (−1)
= lim
= lim
 = lim
→0
→0
→0



1 − 2 + 2 − 3 + 3 + 2
2 + 
( + 1)
= lim
= lim
= lim ( + 1) = 1
→0
→0
→0
→0



= lim
(b) An equation of the tangent line is  −  () =  0 ()( − ) ⇒  −  (−1) =  0 (−1)( − (−1)) ⇒
 − (−2) = 1( + 1) ⇒  + 2 =  + 1, or  =  − 1.
(c)
The graph of  =  − 1 is tangent to the graph of  = 2 + 3 at the point
(−1 −2). Now zoom in toward the point (−1 −2) until the parabola and
the tangent line are indistinguishable.
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°
134
¤
CHAPTER 2
LIMITS AND DERIVATIVES
4. (a) (i) Using Definition 1 with  () = 3 + 1 and  (1 2), the slope of the tangent line is


( − 1) 2 +  + 1
() − ()
(3 + 1) − 2
3 − 1
 = lim
= lim
= lim
= lim
→
→1
→1  − 1
→1
−
−1
−1
 2

2
= lim  +  + 1 = 1 + 1 + 1 = 3
→1
(ii) Using Equation 2 with  () = 3 + 1 and  (1 2), the slope of the tangent line is


(1 + )3 + 1 − 2
 ( + ) − ()
 (1 + ) −  (1)
= lim
= lim
 = lim
→0
→0
→0



1 + 3 + 32 + 3 + 1 − 2
3 + 32 + 3
(2 + 3 + 3)
= lim
= lim
→0
→0
→0



= lim
= lim (2 + 3 + 3) = 3
→0
(b) An equation of the tangent line is  −  () =  0 ()( − ) ⇒  −  (1) =  0 (1)( − 1) ⇒  − 2 = 3 ( − 1),
or  = 3 − 1.
The graph of  = 3 − 1 is tangent to the graph of  = 3 + 1 at the
(c)
point (1 2). Now zoom in toward the point (1 2) until the cubic and the
tangent line appear to coincide.
5. Using (1) with  () = 22 − 5 + 1 and  (3 4) [we could also use Equation (2)], the slope of the tangent line is
 () −  ()
(22 − 5 + 1) − 4
22 − 5 − 3
(2 + 1)( − 3)
= lim
= lim
= lim
→
→3
→3
→3
−
−3
−3
−3
 = lim
= lim (2 + 1) = 2(3) + 1 = 7
→3
Tangent line:  − 4 = 7( − 3) ⇔  − 4 = 7 − 21 ⇔  = 7 − 17
6. Using (2) with  () = 2 − 23 and  (1 −1), the slope of the tangent line is
 = lim
→0


(1 + )2 − 2(1 + )3 − (−1)
 ( + ) −  ()
 (1 + ) −  (1)
= lim
= lim
→0
→0



1 + 2 + 2 − 2 − 6 − 62 − 23 + 1
−23 − 52 − 4
−(22 + 5 + 4)
= lim
= lim
→0
→0
→0





2
= lim −(2 + 5 + 4) = −4
= lim
→0
Tangent line:  − (−1) = −4( − 1) ⇔  + 1 = −4 + 4 ⇔  = −4 + 3
7. Using (1) with  () =
+2
and  (2 −4), the slope of the tangent line is
−3
+2
 + 2 + 4( − 3)
− (−4)
 () −  ()
5 − 10

−
3
−3
 = lim
= lim
= lim
= lim
→
→2
→2
→2 ( − 2)( − 3)
−
−2
−2
= lim
→2
5
5( − 2)
5
= lim
=
= −5
( − 2)( − 3) →2  − 3
2−3
Tangent line:  − (−4) = −5( − 2) ⇔  + 4 = −5 + 10 ⇔  = −5 + 6
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°
SECTION 2.7
8. Using (1) with  () =
√
1 − 3 and  (−1 2), the slope of the tangent line is
 () −  ()
= lim
 = lim
→
→−1
−
= lim
→−1
DERIVATIVES AND RATES OF CHANGE
Tangent line:  − 2 = − 34 [ − (−1)] ⇔  − 2 = − 34  −
3
4
⇔  = − 34  +
5
4
9. (a) Using (2) with  =  () = 3 + 42 − 23 , the slope of the tangent line is
 ( + ) −  ()
3 + 4( + )2 − 2( + )3 − (3 + 42 − 23 )
= lim
→0
→0


 = lim
3 + 4(2 + 2 + 2 ) − 2(3 + 32  + 32 + 3 ) − 3 − 42 + 23
→0

= lim
→0
3 + 42 + 8 + 42 − 23 − 62  − 62 − 23 − 3 − 42 + 23

8 + 42 − 62  − 62 − 23
(8 + 4 − 62 − 6 − 22 )
= lim
→0
→0


= lim
= lim (8 + 4 − 62 − 6 − 22 ) = 8 − 62
→0
(b) At (1 5):  = 8(1) − 6(1)2 = 2, so an equation of the tangent line
(c)
is  − 5 = 2( − 1) ⇔  = 2 + 3.
At (2 3):  = 8(2) − 6(2)2 = −8, so an equation of the tangent
line is  − 3 = −8( − 2) ⇔  = −8 + 19.
√

√ 
10. (a) Using (1) with  () = 2  and   2  , the slope of the tangent line is
 √
√  √
√ 
√
√
2 −2  2 +2 
2 −2 
4 − 4
 √
 √
= lim
 = lim
= lim
√ 
√ 
→
→
→
−
( − ) 2  + 2 
( − ) 2  + 2 
= lim
→
√
4( − )
4

4
4
1
 √
√ = √
√ = √ = √ , or
[  0]
lim √
√  = →

2 +2 
2 +2 
4 

( − ) 2  + 2 
1
(b) At (1 2):  = √ = 1, so an equation of the tangent line is
1
(c)
 − 2 = 1( − 1) ⇔  =  + 1.
1
1
At (9 6):  = √ = , so an equation of the tangent line is
3
9
 − 6 = 13 ( − 9) ⇔  = 13  + 3.
11. (a) We have  () = 162 . The diver will hit the water when  () = 100
=
5
2
135
√
√

√
1 − 3 − 2
1 − 3 + 2
1 − 3 − 2
(1 − 3) − 4
√

√

= lim
= lim
→−1
→−1 ( + 1)
 − (−1)
( + 1) 1 − 3 + 2
1 − 3 + 2
−3
3
−3 − 3
−3 ( + 1)
−3
√
 = lim
√
 = lim √
=
=−
→−1 ( + 1)
→−1
2+2
4
( + 1) 1 − 3 + 2
1 − 3 + 2
1 − 3 + 2
= lim
¤
⇔ 162 = 100 ⇔ 2 =
25
4
⇔
(  0). The diver will hit the water after 25 seconds.
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°
136
¤
CHAPTER 2
LIMITS AND DERIVATIVES
(b) By Definition 3, the instantaneous velocity of an object with position function () at time  = 25 is
(25 + ) − (25)
16(25 + )2 − 100
100 + 80 + 162 − 100
= lim
= lim
→0
→0
→0



(25) = lim
80 + 162
(80 + 16)
= lim
= lim (80 + 16) = 80
→0
→0
→0


= lim
The diver will hit the water with a velocity of 80 fts.
12. (a) Let () = 10 − 1862 .


10(1 + ) − 186(1 + )2 − (10 − 186)
(1 + ) − (1)
= lim
(1) = lim
→0
→0


= lim
10 + 10 − 186(1 + 2 + 2 ) − 10 + 186
10 + 10 − 186 − 372 − 1862 − 10 + 186
= lim
→0


= lim
628 − 1862
= lim (628 − 186) = 628
→0

→0
→0
The velocity of the rock after one second is 628 ms.


10( + ) − 186( + )2 − (10 − 1862 )
( + ) − ()
= lim
(b) () = lim
→0
→0


10 + 10 − 186(2 + 2 + 2 ) − 10 + 1862
→0

= lim
10 + 10 − 1862 − 372 − 1862 − 10 + 1862
10 − 372 − 1862
= lim
→0
→0


= lim
= lim
→0
(10 − 372 − 186)
= lim (10 − 372 − 186) = 10 − 372
→0

The velocity of the rock when  =  is (10 − 372) ms
(c) The rock will hit the surface when  = 0 ⇔ 10 − 1862 = 0 ⇔ (10 − 186) = 0 ⇔  = 0 or 186 = 10.
The rock hits the surface when  = 10186 ≈ 54 s.
(d) The velocity of the rock when it hits the surface is 

10
186

 10 
= 10 − 372 186
= 10 − 20 = −10 ms.
1
1
2 − ( + )2
− 2
2
( + ) − ()
( + )

2 ( + )2
= lim
= lim
13. () = lim
→0
→0
→0



2 − (2 + 2 + 2 )
−(2 + 2 )
= lim
2
2
→0
→0 2 ( + )2
 ( + )
= lim
= lim
→0
So (1) =
−2
−2
−(2 + )
−(2 + )
= lim 2
= 2 2 = 3 ms
→0  ( + )2
2 ( + )2
 ·

−2
−2
−2
1
2
ms.
= −2 ms, (2) = 3 = − ms, and (3) = 3 = −
13
2
4
3
27
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 2.7
DERIVATIVES AND RATES OF CHANGE
¤
137
14. (a) The average velocity between times  and  +  is
( + ) − ()
=
( + ) − 
1
(
2
+ )2 − 6( + ) + 23 −

1
2

2 − 6 + 23
+  + 12 2 − 6 − 6 + 23 − 12 2 + 6 − 23





  + 12  − 6
 + 12 2 − 6
=
=
=  + 12  − 6 fts


=
1 2

2
(i) [4 8]:  = 4,  = 8 − 4 = 4, so the average velocity is 4 + 12 (4) − 6 = 0 fts.
(ii) [6 8]:  = 6,  = 8 − 6 = 2, so the average velocity is 6 + 12 (2) − 6 = 1 fts.
(iii) [8 10]:  = 8,  = 10 − 8 = 2, so the average velocity is 8 + 12 (2) − 6 = 3 fts.
(iv) [8 12]:  = 8,  = 12 − 8 = 4, so the average velocity is 8 + 12 (4) − 6 = 4 fts.


( + ) − ()
= lim  + 12  − 6
→0

=  − 6, so (8) = 2 fts.
(b) () = lim
→0
(c)
15. (a) The particle is moving to the right when  is increasing; that is, on the intervals (0 1) and (4 6). The particle is moving to
the left when  is decreasing; that is, on the interval (2 3). The particle is standing still when  is constant; that is, on the
intervals (1 2) and (3 4).
(b) The velocity of the particle is equal to the slope of the tangent line of the
graph. Note that there is no slope at the corner points on the graph. On the
interval (0 1) the slope is
3−0
= 3. On the interval (2 3), the slope is
1−0
3−1
1−3
= −2. On the interval (4 6), the slope is
= 1.
3−2
6−4
16. (a) Runner A runs the entire 100­meter race at the same velocity since the slope of the position function is constant.
Runner B starts the race at a slower velocity than runner A, but finishes the race at a faster velocity.
(b) The distance between the runners is the greatest at the time when the largest vertical line segment fits between the two
graphs—this appears to be somewhere between 9 and 10 seconds.
(c) The runners had the same velocity when the slopes of their respective position functions are equal—this also appears to be
at about 95 s. Note that the answers for parts (b) and (c) must be the same for these graphs because as soon as the velocity
for runner B overtakes the velocity for runner A, the distance between the runners starts to decrease.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
138
¤
CHAPTER 2
LIMITS AND DERIVATIVES
17.  0 (0) is the only negative value. The slope at  = 4 is smaller than the slope at  = 2 and both are smaller than the slope
at  = −2. Thus, 0 (0)  0  0 (4)   0 (2)   0 (−2).
18. (a) On [20 60]:
700 − 300
400
 (60) −  (20)
=
=
= 10
60 − 20
40
40
(b) Pick any interval that has the same ­value at both endpoints. [10 50] is such an interval since  (10) = 400 and
 (50) = 400.
(c)
 (40) −  (10)
200 − 400
−200
20
=
=
=−
40 − 10
30
30
3
This value represents the slope of the line segment from (10 (10)) to (40 (40)).
(d) The tangent line at  = 50 appears to pass through the points (40 200) and (60 700), so
 0 (50) ≈
500
700 − 200
=
= 25.
60 − 40
20
(e) The tangent line at  = 10 is steeper than the tangent line at  = 30, so it is larger in magnitude, but less in numerical
value, that is,  0 (10)   0 (30).
(f ) The slope of the tangent line at  = 60,  0 (60), is greater than the slope of the line through (40 (40)) and (80 (80)).
So yes,  0 (60) 
(80) −  (40)
.
80 − 40
19. Using Definition 4 with  () =
√
4 + 1 and  = 6,

√
4(6 + ) + 1 − 5
 (6 + ) −  (6)
25 + 4 − 5
= lim
= lim
 (6) = lim
→0
→0
→0



√
√

25 + 4 − 5
25 + 4 + 5
(25 + 4) − 25
4
√

 = lim √

= lim
= lim √
→0
→0 
→0 
 25 + 4 + 5
25 + 4 + 5
25 + 4 + 5
0
4
2
4
=
=
= lim √
→0
5+5
5
25 + 4 + 5
20. Using Definition 4 with  () = 54 and  = −1,
 0 (−1) = lim
→0
 (−1 + ) −  (−1)
5(−1 + )4 − 5
5(1 − 4 + 62 − 43 + 4 ) − 5
= lim
= lim
→0
→0



−20 + 302 − 203 + 54
−(20 − 30 + 202 − 53 )
= lim
→0
→0




2
3
= lim −(20 − 30 + 20 − 5 ) = −20
= lim
→0
21. Using Equation 5 with () =
2
and  = 3,
+6
2
2 − ( + 6)
−1
()
−
(3)
2 −  − 6
+6
 0 (3) = lim
= lim  + 6
= lim
= lim
→3
→3
→3
→3 ( + 6)( − 3)
−3
−3
−3
= lim
→3
3+2
5
( + 2)( − 3)
+2
= lim
=
=
( + 6)( − 3) →3  + 6
3+6
9
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 2.7
DERIVATIVES AND RATES OF CHANGE
1
and  = 1,
2 + 2
22. Using Equation 5 with () = √
√
1
1
2 − 2 + 2
√
√
√
−
2
() − (1)
2 − 2 + 2
2 + 2
2 2 + 2
0
√
 (1) = lim
= lim
= lim
= lim
→1
→1
→1
→1 2 2 + 2 ( − 1)
−1
−1
−1



√
√
2 − 2 + 2 2 + 2 + 2
4 − (2 + 2)

 = lim √


√
√
= lim √
→1 2 2 + 2 ( − 1) 2 +
→1 2 2 + 2 ( − 1) 2 +
2 + 2
2 + 2
−2 + 2
−2( − 1)

 = lim √


√
√
= lim √
→1 2 2 + 2 ( − 1) 2 +
→1 2 2 + 2 ( − 1) 2 +
2 + 2
2 + 2
−1
1
−1

 = √ 
√  =−
√
= lim √
→1
8
2 + 2 2 + 2 + 2
4 2+ 4
23. Using Definition 4 with  () = 22 − 5 + 3,


2( + )2 − 5( + ) + 3 − (22 − 5 + 3)
 ( + ) −  ()
 () = lim
= lim
→0
→0


0
= lim
22 + 4 + 22 − 5 − 5 + 3 − 22 + 5 − 3
4 + 22 − 5
= lim
→0


= lim
(4 + 2 − 5)
= lim (4 + 2 − 5) = 4 − 5
→0

→0
→0
24. Using Definition 4 with  () = 3 − 3,
 0 () = lim
→0


( + )3 − 3( + ) − (3 − 3)
 ( + ) −  ()
= lim
→0


= lim
3 + 32  + 32 + 3 − 3 − 3 − 3 + 3
32  + 32 + 3 − 3
= lim
→0


= lim
(32 + 3 + 2 − 3)
= lim (32 + 3 + 2 − 3) = 32 − 3
→0

→0
→0
25. Using Definition 4 with  () =
1
.
2 + 1


(2 + 1) − ( + )2 + 1
1
1
−
 ( + ) −  ()
( + )2 + 1
2 + 1
[( + )2 + 1] (2 + 1)
= lim
= lim
 0 () = lim
→0
→0
→0



 2

 + 1 − (2 + 2 + 2 + 1)
−(2 + 2 )
−(2 + )
= lim
= lim
= lim
2
2
→0
→0 [( + )2 + 1](2 + 1)
→0 [( + )2 + 1](2 + 1)
[( + ) + 1]( + 1)
= lim
→0
−2
2
− (2 + )
= 2
=− 2
[( + )2 + 1](2 + 1)
( + 1)(2 + 1)
( + 1)2
26. Use Definition 4 with  () =

.
1 − 4

+
( + )(1 − 4) −  [1 − 4( + )]
−

(
+
)
−

()
1
−
4(
+
)
1
−
4
[1 − 4( + )](1 − 4)
= lim
= lim
 0 () = lim
→0
→0
→0



= lim
 − 42 +  − 4 −  + 42 + 4

= lim
→0 [1 − 4( + )](1 − 4)
[1 − 4( + )](1 − 4)
= lim
1
1
1
=
=
[1 − 4( + )](1 − 4)
(1 − 4)(1 − 4)
(1 − 4)2
→0
→0
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
¤
139
140
¤
CHAPTER 2
LIMITS AND DERIVATIVES
27. Since (6) = 0, the point (6 0) is on the graph of . Since  0 (6) = − 12 , the slope of the tangent line at  = 6 is − 12 .
Using the point­slope form of a line gives us  − 0 = − 12 ( − 6), or  = − 12  + 3.
28. Since (5) = −3, the point (5 −3) is on the graph of . Since 0 (5) = 4, the slope of the tangent line at  = 5 is 4.
Using the point­slope form of a line gives us  − (−3) = 4( − 5), or  = 4 − 23.
29. Using Definition 4 with  () = 32 − 3 and  = 1,
 0 (1) = lim
→0
= lim
→0
 (1 + ) −  (1)
[3(1 + )2 − (1 + )3 ] − 2
= lim
→0


(3 + 6 + 32 ) − (1 + 3 + 32 + 3 ) − 2
3 − 3
(3 − 2 )
= lim
= lim
→0
→0



= lim (3 − 2 ) = 3 − 0 = 3
→0
Tangent line:  − 2 = 3( − 1) ⇔  − 2 = 3 − 3 ⇔  = 3 − 1
30. Using Equation 5 with () = 4 − 2 and  = 1,
() − (1)
(4 − 2) − (−1)
4 − 1
(2 + 1)(2 − 1)
= lim
= lim
= lim
→1
→1
→1  − 1
→1
−1
−1
−1
 0 (1) = lim
= lim
→1
(2 + 1)( + 1)( − 1)
= lim [(2 + 1)( + 1)] = 2(2) = 4
→1
−1
Tangent line:  − (−1) = 4( − 1) ⇔  + 1 = 4 − 4 ⇔  = 4 − 5
31. (a) Using Definition 4 with  () = 5(1 + 2 ) and the point (2 2), we have
(b)
5(2 + )
−2

(2
+
)
−

(2)
1
+
(2 + )2
= lim
 0 (2) = lim
→0
→0


5 + 10
5 + 10 − 2(2 + 4 + 5)
−2
2 + 4 + 5

2 + 4 + 5
= lim
= lim
→0
→0


= lim
→0
−3
−22 − 3
(−2 − 3)
−2 − 3
= lim
= lim
=
(2 + 4 + 5) →0 (2 + 4 + 5) →0 2 + 4 + 5
5
So an equation of the tangent line at (2 2) is  − 2 = − 35 ( − 2) or  = − 35  +
16
.
5
32. (a) Using Definition 4 with () = 42 − 3 , we have
( + ) − ()
[4( + )2 − ( + )3 ] − (42 − 3 )
= lim
→0
→0


0 () = lim
42 + 8 + 42 − (3 + 32  + 32 + 3 ) − 42 + 3
→0

= lim
= lim
→0
8 + 42 − 32  − 32 − 3
(8 + 4 − 32 − 3 − 2 )
= lim
→0


= lim (8 + 4 − 32 − 3 − 2 ) = 8 − 32
→0
[continued]
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 2.7
At the point (2 8), 0 (2) = 16 − 12 = 4, and an equation of the
DERIVATIVES AND RATES OF CHANGE
¤
(b)
tangent line is  − 8 = 4( − 2), or  = 4. At the point (3 9),
0 (3) = 24 − 27 = −3, and an equation of the tangent line is
 − 9 = −3( − 3), or  = −3 + 18
33. For the tangent line  = 4 − 5: when  = 2,  = 4(2) − 5 = 3 and its slope is 4 (the coefficient of ). At the point of
tangency, these values are shared with the curve  =  (); that is,  (2) = 3 and  0 (2) = 4.
34. Since (4 3) is on  =  (),  (4) = 3. The slope of the tangent line between (0 2) and (4 3) is 14 , so  0 (4) =
1
4.

 

80(4 + ) − 6(4 + )2 − 80(4) − 6(4)2
 (4 + ) −  (4)
= lim
35. (4) =  (4) = lim
→0
→0


0
(320 + 80 − 96 − 48 − 62 ) − (320 − 96)
32 − 62
= lim
→0
→0


= lim
= lim
→0
(32 − 6)
= lim (32 − 6) = 32 m/s
→0

The speed when  = 4 is |32| = 32 ms.
 (4 + ) −  (4)
= lim
36. (4) =  (4) = lim
→0
→0

0

10 +
45
4++1




45
− 10 +
4+1
45
−9
5
= lim + 
→0

9
45 − 9(5 + )
−9
−9
= lim
= lim
= − m/s.
→0 (5 + )
→0 5 + 
(5 + )
5
 
The speed when  = 4 is − 95  = 95 ms.
= lim
→0
37. The sketch shows the graph for a room temperature of 72◦ and a refrigerator
temperature of 38◦ . The initial rate of change is greater in magnitude than the
rate of change after an hour.
38. The slope of the tangent (that is, the rate of change of temperature with respect
to time) at  = 1 h seems to be about
75 − 168
≈ −07 ◦ Fmin.
132 − 0
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°
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142
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LIMITS AND DERIVATIVES
39. We begin by drawing a curve through the origin with a
slope of 3 to satisfy  (0) = 0 and  0 (0) = 3. Since
 0 (1) = 0, we will round off our figure so that there is
a horizontal tangent directly over  = 1. Last, we
make sure that the curve has a slope of −1 as we pass
over  = 2. Two of the many possibilities are shown.
40. We begin by drawing a curve through the origin with a slope of 1 to satisfy
(0) = 0 and  0 (0) = 1. We round off our figure at  = 1 to satisfy 0 (1) = 0,
and then pass through (2 0) with slope −1 to satisfy (2) = 0 and  0 (2) = −1.
We round the figure at  = 3 to satisfy  0 (3) = 0, and then pass through (4 0)
with slope 1 to satisfy (4) = 0 and  0 (4) = 1 Finally we extend the curve on
both ends to satisfy lim () = ∞ and lim () = −∞.
→∞
→−∞
41. We begin by drawing a curve through (0 1) with a slope of 1 to satisfy (0) = 1
and  0 (0) = 1. We round off our figure at  = −2 to satisfy  0 (−2) = 0. As
 → −5+ ,  → ∞, so we draw a vertical asymptote at  = −5. As  → 5− ,
 → 3, so we draw a dot at (5 3) [the dot could be open or closed].
42. We begin by drawing an odd function (symmetric with respect to the origin)
through the origin with slope −2 to satisfy  0 (0) = −2. Now draw a curve starting
at  = 1 and increasing without bound as  → 2− since lim  () = ∞. Lastly,
→2−
reflect the last curve through the origin (rotate 180◦ ) since  is an odd function.
√
√
9+−3
=  0 (9), where  () =  and  = 9.
43. By Definition 4, lim
→0

−2+ − −2
=  0 (−2), where () =  and  = −2.
→0

44. By Definition 4, lim
45. By Equation 5, lim
→2
6 − 64
=  0 (2), where  () = 6 and  = 2.
−2
1
−4
1
1

and  = .
=  0 (4), where  () =
46. By Equation 5, lim
1
→14

4
−
4
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°
SECTION 2.7
DERIVATIVES AND RATES OF CHANGE
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143


 
+ −1
tan

4
= 0
, where  () = tan  and  = .
47. By Definition 4, lim
→0

4
4

sin  − 12

= 0
, where  () = sin  and  = .

→6  −
6
6
6
48. By Equation 5, lim
49. (a) (i)
(105) − (100)
660125 − 6500
∆
=
=
= $2025unit.
∆
105 − 100
5
(ii)
(101) − (100)
652005 − 6500
∆
=
=
= $2005unit.
∆
101 − 100
1


5000 + 10(100 + ) + 005(100 + )2 − 6500
(100 + ) − (100)
20 + 0052
(b)
=
=



= 20 + 005,  6= 0
So the instantaneous rate of change is lim
→0
(100 + ) − (100)
= lim (20 + 005) = $20unit.
→0

50. (a)  0 (58) is the rate at which the daily heating cost changes with respect to temperature when the outside temperature is
58 ◦ F. The units are dollars ◦ F.
(b) If the outside temperature increases, the building should require less heating, so we would expect  0 (58) to be negative.
51. (a)  0 () is the rate of change of the production cost with respect to the number of ounces of gold produced. Its units are
dollars per ounce.
(b) After 800 ounces of gold have been produced, the rate at which the production cost is increasing is $17ounce. So the cost
of producing the 800th (or 801st) ounce is about $17.
(c) In the short term, the values of  0 () will decrease because more efficient use is made of start­up costs as  increases. But
eventually  0 () might increase due to large­scale operations.
52. (a)  0 (8) is the rate of change of the quantity of coffee sold with respect to the price per pound when the price is $8 per pound.
The units for  0 (8) are pounds(dollarspound).
(b)  0 (8) is negative since the quantity of coffee sold will decrease as the price charged for it increases. People are generally
less willing to buy a product when its price increases.
53. (a)  0 ( ) is the rate at which the oxygen solubility changes with respect to the water temperature. Its units are (mgL)◦ C.
(b) For  = 16◦ C, it appears that the tangent line to the curve goes through the points (0 14) and (32 6). So
 0 (16) ≈
8
6 − 14
=−
= −025 (mgL)◦ C. This means that as the temperature increases past 16◦ C, the oxygen
32 − 0
32
solubility is decreasing at a rate of 025 (mgL)◦ C.
54. (a)  0 ( ) is the rate of change of the maximum sustainable speed of Coho salmon with respect to the temperature. Its units
are (cms)◦ C.
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(b) For  = 15◦ C, it appears the tangent line to the curve goes through the points (10 25) and (20 32). So
 0 (15) ≈
32 − 25
= 07 (cms)◦ C. This tells us that at  = 15◦ C, the maximum sustainable speed of Coho salmon is
20 − 10
changing at a rate of 0.7 (cms)◦ C. In a similar fashion for  = 25◦ C, we can use the points (20 35) and (25 25) to
obtain  0 (25) ≈
25 − 35
= −2 (cms)◦ C. As it gets warmer than 20◦ C, the maximum sustainable speed decreases
25 − 20
rapidly.
55. (a) (i) [10 20]:
0018 − 0033
gdL
(2) − (1)
=
= −0015
2−1
1
h
(ii) [15 20]:
0018 − 0024
−0006
gdL
(2) − (15)
=
=
= −0012
2 − 15
05
05
h
(iii) [20 25]:
0012 − 0018
−0006
gdL
(25) − (2)
=
=
= −0012
25 − 2
05
05
h
(iv) [20 30]:
0007 − 0018
gdL
(3) − (2)
=
= −0011
3−2
1
h
(b) We estimate the instantaneous rate of change at  = 2 by averaging the average rates of change for [15 20] and [20 25]:
−0012 + (−0012)
gdL
gdL
= −0012
. After two hours, the BAC is decreasing at a rate of 0012
.
2
h
h
56. (a) (i) [2008 2010]:
(ii) [2010 2012]:
16,858 − 16,680
178
(2010) − (2008)
=
=
= 89 locationsyear.
2010 − 2008
2
2
(2012) − (2010)
18,066 − 16,858
1208
=
=
= 604 locationsyear.
2012 − 2010
2
2
The rate of growth increased over the period 2008 to 2012.
(b) Averaging the values from parts (i) and (ii) of (a), we have
89 + 604
693
=
= 3465 locationsyear.
2
2
(c) We plot the function  and estimate the slope of the tangent line at
 = 2010. The tangent segment has endpoints (2008 16,250) and
(2012 17,500). An estimate of the instantaneous rate of growth in
2010 is
17,500 − 16,250
1250
=
= 3125 locationsyear.
2012 − 2008
4
57. Since  () =  sin(1) when  6= 0 and  (0) = 0, we have
 0 (0) = lim
→0
 (0 + ) −  (0)
 sin(1) − 0
= lim
= lim sin(1). This limit does not exist since sin(1) takes the
→0
→0


values −1 and 1 on any interval containing 0. (Compare with Example 2.2.5.)
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°
SECTION 2.7
DERIVATIVES AND RATES OF CHANGE
58. Since () = 2 sin(1) when  6= 0 and  (0) = 0, we have
1
 (0 + ) −  (0)
2 sin(1) − 0
= lim
= lim  sin(1). Since −1 ≤ sin ≤ 1, we have
→0
→0
→0



 0 (0) = lim
1
1
≤ || ⇒ − || ≤  sin ≤ ||. Because lim (− ||) = 0 and lim || = 0, we know that
→0
→0




1
lim  sin
= 0 by the Squeeze Theorem. Thus,  0 (0) = 0.
→0

− || ≤ || sin
59. (a) The slope at the origin appears to be 1.
(b) The slope at the origin still appears to be 1.
(c) Yes, the slope at the origin now appears to be 0.
60. (a) The symmetric difference quotient on [2004 2012] is (with  = 2008 and  = 4)
(2012) −  (2004)
 (2008 + 4) −  (2008 − 4)
=
2(4)
8
=
16,4327 − 75961
8
= 1104575  1105 billion dollars per year
This result agrees with the estimate for 0 (2008) computed in the example.
(b) Averaging the average rates of change of  over the intervals [ −  ] and [  + ] gives
 ( + ) −  ()
 () −  ( − )
 ( + ) − ()
 () −  ( − )
+
+
 − ( − )
( + ) − 


=
2
2
=
 ( + ) −  ( − )
2
which is the symmeric difference quotient.
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CHAPTER 2
LIMITS AND DERIVATIVES
(c) For  () = 3 − 22 + 2,  = 1, and  = 04, we have
 (14) − (06)
 (1 + 04) − (1 − 04)
=
2(04)
08
0824 − 1496
= −084
=
08
 0 (1) 
On the graph, ( i ) – (v) correspond to:
( i )  () = 3 − 22 + 2
( ii ) secant line corresponding to average rate of change
over [1 − 04 1] = [06 1]
(iii) secant line corresponding to average rate of change over [1 1 + 04] = [1 14]
(iv) secant line corresponding to average rate of change over [1 − 04 1 + 04] = [06 14]
( v ) tangent line at  = 1
The secant line corresponding to the average rate of change over [06 14] — that is, graph (iv) — appears to have slope
closest to that of the tangent line at  = 1.
2.8 The Derivative as a Function
1. We estimate the slopes of tangent lines on the graph of  to
determine the derivative approximations that follow.
Your answers may vary depending on your estimates.
(a)  0 (0) =
(b)  0 (1)  0
1
2
(c)  0 (2)  −1
(d)  0 (3)  − 32
(e)  0 (4)  −1
(f )  0 (5)  0
(g)  0 (6)  1
(h)  0 (7)  1
2. We estimate the slopes of tangent lines on the graph of  to
determine the derivative approximations that follow. Your
answers may vary depending on your estimates.
(a)  0 (−3)  −1
(b)  0 (−2)  0
(c)  0 (−1) 
(d)  0 (0) 
1
2
(e)  0 (1)  3
x
3
2
(f )  0 (2)  0
(g)  0 (3)  − 32
3. (a)0 = II, since from left to right, the slopes of the tangents to graph (a) start out negative, become 0, then positive, then 0, then
negative again. The actual function values in graph II follow the same pattern.
(b) = IV, since from left to right, the slopes of the tangents to graph (b) start out at a fixed positive quantity, then suddenly
0
become negative, then positive again. The discontinuities in graph IV indicate sudden changes in the slopes of the tangents.
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°
SECTION 2.8
THE DERIVATIVE AS A FUNCTION
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147
(c)0 = I, since the slopes of the tangents to graph (c) are negative for   0 and positive for   0, as are the function values of
graph I.
0
(d) = III, since from left to right, the slopes of the tangents to graph (d) are positive, then 0, then negative, then 0, then
positive, then 0, then negative again, and the function values in graph III follow the same pattern.
Hints for Exercises 4 –11: First plot -intercepts on the graph of  0 for any horizontal tangents on the graph of  . Look for any corners on the graph
of  — there will be a discontinuity on the graph of  0 . On any interval where  has a tangent with positive (or negative) slope, the graph of  0 will be
positive (or negative). If the graph of the function is linear, the graph of  0 will be a horizontal line.
4.
5.
6.
7.
8.
9.
10.
11.
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12. The slopes of the tangent lines on the graph of  =  () are always
positive, so the ­values of  =  0() are always positive. These values start
out relatively small and keep increasing, reaching a maximum at about
 = 6. Then the ­values of  =  0() decrease and get close to zero. The
graph of  0 tells us that the yeast culture grows most rapidly after 6 hours
and then the growth rate declines.
13. (a)  0 () is the instantaneous rate of change of percentage
of full capacity with respect to elapsed time in hours.
(b) The graph of  0 () tells us that the rate of change of
percentage of full capacity is decreasing and
approaching 0.
14. (a)  0 () is the instantaneous rate of change of fuel
economy with respect to speed.
(b) Graphs will vary depending on estimates of  0 , but
will change from positive to negative at about  = 50.
(c) To save on gas, drive at the speed where  is a
maximum and  0 is 0, which is about 50 mi h.
15. It appears that there are horizontal tangents on the graph of  for  = 2
and for   75. Thus, there are zeros for those values of  on the graph
of  0 . The derivative is negative for values of  between 0 and 2 and for
values of  between approximately 75 and 12. The value of  0 ()
appears to be largest at   525.
16.
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°
SECTION 2.8
THE DERIVATIVE AS A FUNCTION
17.
The slope at 0 appears to be 1 and the slope at 1 appears
to be 27. As  decreases, the slope gets closer to 0. Since
the graphs are so similar, we might guess that  0 () =  .
18.
As  increases toward 1,  0 () decreases from very large
numbers to 1. As  becomes large,  0 () gets closer to 0.
As a guess,  0 () = 12 or  0 () = 1 makes sense.
19. (a) By zooming in, we estimate that  0 (0) = 0,  0
and  0 (2) = 4.
1
2
= 1,  0 (1) = 2,
 
(b) By symmetry,  0 (−) = − 0 (). So  0 − 12 = −1,  0 (−1) = −2,
and  0 (−2) = −4.
(c) It appears that  0 () is twice the value of , so we guess that  0 () = 2.
( + ) −  ()
( + )2 − 2
= lim
→0
→0


 2

 + 2 + 2 − 2
(2 + )
2 + 2
= lim
= lim
= lim
= lim (2 + ) = 2
→0
→0
→0
→0



(d)  0 () = lim
20. (a) By zooming in, we estimate that  0 (0) = 0,  0
1
2
≈ 075,  0 (1) ≈ 3,  0 (2) ≈ 12, and  0 (3) ≈ 27.
 
(b) By symmetry,  0 (−) =  0 (). So  0 − 12 ≈ 075,  0 (−1) ≈ 3,  0 (−2) ≈ 12, and  0 (−3) ≈ 27.
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LIMITS AND DERIVATIVES
(d) Since  0 (0) = 0, it appears that  0 may have the form  0 () = 2 .
(c)
Using  0 (1) = 3, we have  = 3, so  0 () = 32 .
(e)  0 () = lim
 ( + ) −  ()
( + )3 − 3
(3 + 32  + 32 + 3 ) − 3
= lim
= lim
→0
→0



= lim
(32 + 3 + 2 )
32  + 32 + 3
= lim
= lim (32 + 3 + 2 ) = 32
→0
→0


→0
→0
21.  0 () = lim
→0
= lim
→0
( + ) −  ()
[3( + ) − 8] − (3 − 8)
3 + 3 − 8 − 3 + 8
= lim
= lim
→0
→0



3
= lim 3 = 3
→0

Domain of  = domain of  0 = .
22.  0 () = lim
→0
= lim
→0
( + ) −  ()
[( + ) + ] − ( + )
 +  +  −  − 
= lim
= lim
→0
→0




= lim  = 
→0

Domain of  = domain of  0 = .

 

25( + )2 + 6( + ) − 252 + 6
 ( + ) − ()
= lim
23.  () = lim
→0
→0


0
25(2 + 2 + 2 ) + 6 + 6 − 252 − 6
252 + 5 + 252 + 6 − 252
= lim
→0
→0


= lim
5 + 252 + 6
 (5 + 25 + 6)
= lim
= lim (5 + 25 + 6)
→0
→0
→0


= lim
= 5 + 6
Domain of  = domain of  0 = .
24.  0 () = lim
→0


4 + 8( + ) − 5( + )2 − (4 + 8 − 52 )
( + ) −  ()
= lim
→0


= lim
4 + 8 + 8 − 5(2 + 2 + 2 ) − 4 − 8 + 52
8 − 52 − 10 − 52 + 52
= lim
→0


= lim
8 − 10 − 52
(8 − 10 − 5)
= lim
= lim (8 − 10 − 5)
→0
→0


→0
→0
= 8 − 10
Domain of  = domain of  0 = .
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°
SECTION 2.8
THE DERIVATIVE AS A FUNCTION
¤
151


4( + )3 + 3( + ) − (43 + 3)
( + ) − ()
= lim
25. 0 () = lim
→0
→0


43 + 122  + 122 + 43 + 3 + 3 − 43 − 3
122  + 122 + 43 + 3
= lim
→0
→0


= lim


(122 + 12 + 42 + 3)
= lim 122 + 12 + 42 + 3 = 122 + 3
→0
→0

= lim
Domain of  = Domain of 0 = .
26.  0 () = lim
→0
= lim
→0
= lim
→0


( + )3 − 5( + ) + 1 − (3 − 5 + 1)
 ( + ) −  ()
= lim
→0


3 + 32  + 32 + 3 − 5 − 5 + 1 − 3 + 5 − 1
32  + 32 + 3 − 5
= lim
→0




(32 + 3 + 2 − 5)
= lim 32 + 3 + 2 − 5 = 32 − 5
→0

Domain of  = Domain of  0 = .


(2 − 4) − ( + )2 − 4
1
1
− 2
( + ) −  ()
( + )2 − 4
 −4
[( + )2 − 4] (2 − 4)
= lim
= lim
27.  0 () = lim
→0
→0
→0



 2

2
2
2
2
2
( − 4) −  + 2 +  − 4
 − 4 −  − 2 −  + 4
−2 − 2
=
lim
=
lim
= lim
→0
→0
→0 [( + )2 − 4] (2 − 4)
 [( + )2 − 4] (2 − 4)
[( + )2 − 4] (2 − 4)
= lim
→0
 (−2 − )
−2
2
−2 − 
= lim
= 2
=− 2
[( + )2 − 4] (2 − 4) →0 [( + )2 − 4] (2 − 4)
( − 4)(2 − 4)
( − 4)2
Domain of  = Domain of  0 = (−∞ −2) ∪ (−2 2) ∪ (2 ∞).

+
( + )( + 2) −  [( + ) + 2]
−
 ( + ) −  ()
( + ) + 2
+2
[( + ) + 2] ( + 2)
= lim
= lim
28.  () = lim
→0
→0
→0



0
 2 + 2 +  + 2 −  2 −  − 2
2
2
= lim
= lim
→0
→0 [( + ) + 2] ( + 2)
→0 [( + ) + 2] ( + 2)
[( + ) + 2] ( + 2)
= lim
=
2
2
=
( + 2)( + 2)
( + 2)2
Domain of  = Domain of  0 = (−∞ −2) ∪ (−2 ∞).
+1
( + ) + 1
[( + ) + 1] (4 − 1) − ( + 1) [4( + ) − 1]
−
( + ) − ()
4( + ) − 1
4 − 1
[4( + ) − 1] (4 − 1)
= lim
= lim
29.  () = lim
→0
→0
→0



0
( +  + 1)(4 − 1) − ( + 1) (4 + 4 − 1)
[4( + ) − 1] (4 − 1)
= lim
→0

= lim
42 + 4 + 4 −  −  − 1 − 42 − 4 +  − 4 − 4 + 1
 [4( + ) − 1] (4 − 1)
= lim
−5
5
−5
−5
= lim
=
=−
 [4( + ) − 1] (4 − 1) →0 [4( + ) − 1] (4 − 1)
(4 − 1)(4 − 1)
(4 − 1)2
→0
→0
 


Domain of  = Domain of 0 = −∞ 14 ∪ 14  ∞ .
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°
152
¤
CHAPTER 2
30.  0 () = lim
→0
= lim
→0
LIMITS AND DERIVATIVES
( + ) −  ()
( + )4 − 4
(4 + 43  + 62 2 + 43 + 4 ) − 4
= lim
= lim
→0
→0



43  + 62 2 + 43 + 4
(43 + 62  + 42 + 3 )
= lim
→0


= lim (43 + 62  + 42 + 3 ) = 43
→0
Domain of  = domain of  0 = .
( + ) −  ()
= lim
31.  () = lim
→0
→0

0
1
1

−√
1+
1 + ( + )

1
1


−√
√
1+
1 + ( + )
1 + ( + ) 1 + 
= lim
·
√
→0

1 + ( + ) 1 + 


√
√
1 +  − 1 + ( + )
1 +  + 1 + ( + )

= lim 
·√
√
→0 
1 + ( + ) 1 + 
1 +  + 1 + ( + )
= lim
→0
= lim
→0
(1 + ) − [1 + ( + )]
√



√
 1 + ( + ) 1 + 
1 +  + 1 + ( + )
−
−1
√
√
√
 = lim √
√
√

√
√
→0
 1++ 1+ 1++ 1++
1++ 1+ 1++ 1++
−1
−1
1
√
 =
 √
 =−
√
√
= √
2(1
+
)32
1+ 1+ 1++ 1+
(1 + ) 2 1 + 
Domain of  = Domain of  0 = (−1 ∞).

√

√  
1+  − 1+ +
1
1

√


√
√
√
−
1+ + 1+ 
( + ) − ()
1+ 
1+ +
= lim
= lim
32. 0 () = lim
→0
→0
→0



√
√
√
√
√
√
1+ −1− +
− +
+ +
√

√

√
= lim 
√  = lim 
√ ·√
→0  1 +
→0  1 +
+ 1+ 
+ 1+ 
+ +
= lim
→0
= lim
→0
 − ( + )

√

√

√ √
 1+ + 1+ 
+ +
−

√

√

√ √
 1+ + 1+ 
+ +
−1
√

√

= lim 
√ √
→0 1 +
+ 1+ 
+ +
1
−1
−1
√ 
√ √
√  = 
= 
√ 2 √ = − √ 
√ 2
1+  1+ 
+ 
1+  ·2 
2  1+ 
Domain of  = [0 ∞), domain of  0 = (0 ∞).
33. (a)
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°
SECTION 2.8
THE DERIVATIVE AS A FUNCTION
(b) Note that the third graph in part (a) generally has small positive values for its slope,  0 ; but as  → −3+ ,  0 → ∞.
See the graph in part (d).



√
1 + ( + ) + 3 − 1 +  + 3
( + ) −  ()
0
(c)  () = lim
= lim
→0
→0






√
√
√
( + ) + 3 −  + 3
( + ) + 3 −  + 3
( + ) + 3 +  + 3

= lim
= lim
√
→0
→0


( + ) + 3 +  + 3
= lim
→0
= lim
→0
[( + ) + 3] − ( + 3)
++3−−3


= lim 
√
√
 ( + ) + 3 +  + 3 →0 
( + ) + 3 +  + 3
1

1

 = lim 
= √
√
√
→0
2

+3
(
+
)
+
3
+

+
3

( + ) + 3 +  + 3
Domain of  = [−3 ∞), Domain of  0 = (−3 ∞).
(d)
2 + 1
( + )2 + 1
−
( + ) −  ()
[( + ) + 1( + )] − ( + 1)
+

= lim
= lim
34. (a)  0 () = lim
→0
→0
→0



= lim
[( + )2 + 1] − ( + )(2 + 1)
(3 + 22 + 2 + ) − (3 +  + 2 + )
= lim
→0
( + )
( + )
= lim
2 − 1
1
2 + 2 − 
(2 +  − 1)
2 +  − 1
= lim
= lim
=
, or 1 − 2
→0
→0
( + )
( + )
( + )
2

→0
→0
(b) Notice that  0 () = 0 when  has a horizontal tangent,  0 () is
positive when the tangents have positive slope, and  0 () is
negative when the tangents have negative slope. Both functions
are discontinuous at  = 0.
35. (a)  0 () = lim
→0
( + ) −  ()
[( + )4 + 2( + )] − (4 + 2)
= lim
→0


= lim
4 + 43  + 62 2 + 43 + 4 + 2 + 2 − 4 − 2

= lim
43  + 62 2 + 43 + 4 + 2
(43 + 62  + 42 + 3 + 2)
= lim
→0


→0
→0
= lim (43 + 62  + 42 + 3 + 2) = 43 + 2
→0
(b) Notice that  0 () = 0 when  has a horizontal tangent,  0 () is
positive when the tangents have positive slope, and  0 () is
negative when the tangents have negative slope.
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°
¤
153
154
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CHAPTER 2
LIMITS AND DERIVATIVES
36. (a)  0 () is the rate at which the number of minimally invasive cosmetic surgery procedures performed in the United States is
changing with respect to time. Its units are thousands of surgeries per year.
(b) To find  0 (), we use lim
→0
For 2000:  0 (2000) ≈
( + ) − ()
( + ) − ()
≈
for small values of .
( + ) − 

(2002) − (2000)
4897 − 5500
=
= −3015
2002 − 2000
2
For 2002: We estimate  0 (2002) by using  = −2 and  = 2, and then average the two results to obtain a final estimate.
5500 − 4897
(2000) − (2002)
=
= −3015
2000 − 2002
−2
 = −2 ⇒  0 (2002) ≈
 = 2 ⇒  0 (2002) ≈
7470 − 4897
(2004) − (2002)
=
= 12865
2004 − 2002
2
So we estimate that  0 (2002) ≈ 12 [−3015 + 12865] = 4925.

2000
2002
2004
2006
2008
2010
2012
2014
 0 ()
−3015
4925
106025
85675
60575
5345
596
455
(c)
(d) We could get more accurate values
for  0 () by obtaining data for
more values of .
37. As in Exercise 36, we use one­sided difference quotients for the first and
last values, and average two difference quotients for all other values.

14
21
28
35
42
49
()
41
54
64
72
78
83
0
13
7
23
14
18
14
14
14
11
14
5
7
 ()
38. As in Exercise 36, we use one­sided difference quotients for the first and
last values, and average two difference quotients for all other values. The
units for  0 () are grams per degree (g◦ C).

155
177
200
224
244
 ()
372
310
198
97
0
−98
−282
−387
−453
−673
−975
 ()
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°
SECTION 2.8
THE DERIVATIVE AS A FUNCTION
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155
39. (a)  is the rate at which the percentage of the city’s electrical power produced by solar panels changes with respect to
time , measured in percentage points per year.
(b) 2 years after January 1, 2020 (January 1, 2022), the percentage of electrical power produced by solar panels was increasing
at a rate of 3.5 percentage points per year.
40.  is the rate at which the number of people who travel by car to another state for a vacation changes with respect to the
price of gasoline. If the price of gasoline goes up, we would expect fewer people to travel, so we would expect  to be
negative.
41.  is not differentiable at  = −4, because the graph has a corner there, and at  = 0, because there is a discontinuity there.
42.  is not differentiable at  = −1, because there is a discontinuity there, and at  = 2, because the graph has a corner there.
43.  is not differentiable at  = 1, because  is not defined there, and at  = 5, because the graph has a vertical tangent there.
44.  is not differentiable at  = −2 and  = 3, because the graph has corners there, and at  = 1, because there is a discontinuity
there.
45. As we zoom in toward (−1 0), the curve appears more and more like a straight
line, so  () =  +

|| is differentiable at  = −1. But no matter how much
we zoom in toward the origin, the curve doesn’t straighten out—we can’t
eliminate the sharp point (a cusp). So  is not differentiable at  = 0.
46. As we zoom in toward (0 1), the curve appears more and more like a straight
line, so () = (2 − 1)23 is differentiable at  = 0. But no matter how much
we zoom in toward (1 0) or (−1 0), the curve doesn’t straighten out—we can’t
eliminate the sharp point (a cusp). So  is not differentiable at  = ±1.
47. Call the curve with the positive ­intercept  and the other curve . Notice that  has a maximum (horizontal tangent) at
 = 0, but  6= 0, so  cannot be the derivative of . Also notice that where  is positive,  is increasing. Thus,  =  and
 =  0 . Now  0 (−1) is negative since  0 is below the ­axis there and  00 (1) is positive since  is concave upward at  = 1.
Therefore,  00 (1) is greater than  0 (−1).
48. Call the curve with the smallest positive ­intercept  and the other curve . Notice that where  is positive in the first
quadrant,  is increasing. Thus,  =  and  =  0 . Now  0 (−1) is positive since  0 is above the ­axis there and  00 (1)
appears to be zero since  has an inflection point at  = 1. Therefore,  0 (1) is greater than  00 (−1).
49.  =  ,  =  0 ,  =  00 . We can see this because where  has a horizontal tangent,  = 0, and where  has a horizontal tangent,
 = 0. We can immediately see that  can be neither  nor  0 , since at the points where  has a horizontal tangent, neither 
nor  is equal to 0.
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°
156
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CHAPTER 2
LIMITS AND DERIVATIVES
50. Where  has horizontal tangents, only  is 0, so 0 = .  has negative tangents for   0 and  is the only graph that is
negative for   0, so 0 = .  has positive tangents on  (except at  = 0), and the only graph that is positive on the same
domain is , so 0 = . We conclude that  =  ,  =  0 ,  =  00 , and  =  000 .
51. We can immediately see that  is the graph of the acceleration function, since at the points where  has a horizontal tangent,
neither  nor  is equal to 0. Next, we note that  = 0 at the point where  has a horizontal tangent, so  must be the graph of
the velocity function, and hence, 0 = . We conclude that  is the graph of the position function.
52.  must be the jerk since none of the graphs are 0 at its high and low points.  is 0 where  has a maximum, so 0 = .  is 0
where  has a maximum, so 0 = . We conclude that  is the position function,  is the velocity,  is the acceleration, and  is
the jerk.
53.  0 () = lim
→0
( + ) −  ()
[3( + )2 + 2( + ) + 1] − (32 + 2 + 1)
= lim
→0


= lim
(32 + 6 + 32 + 2 + 2 + 1) − (32 + 2 + 1)
6 + 32 + 2
= lim
→0


= lim
(6 + 3 + 2)
= lim (6 + 3 + 2) = 6 + 2
→0

→0
→0
 0 ( + ) −  0 ()
[6( + ) + 2] − (6 + 2)
(6 + 6 + 2) − (6 + 2)
= lim
= lim
→0
→0
→0



 00 () = lim
= lim
→0
6
= lim 6 = 6
→0

We see from the graph that our answers are reasonable because the graph of
 0 is that of a linear function and the graph of  00 is that of a constant
function.
( + ) −  ()
[( + )3 − 3( + )] − (3 − 3)
= lim
→0


(3 + 32  + 32 + 3 − 3 − 3) − (3 − 3)
32  + 32 + 3 − 3
= lim
= lim
→0
→0


54.  0 () = lim
→0
= lim
→0
(32 + 3 + 2 − 3)
= lim (32 + 3 + 2 − 3) = 32 − 3
→0

 0 ( + ) −  0 ()
[3( + )2 − 3] − (32 − 3)
(32 + 6 + 32 − 3) − (32 − 3)
= lim
= lim
→0
→0
→0



 00 () = lim
6 + 32
(6 + 3)
= lim
= lim (6 + 3) = 6
→0
→0
→0


= lim
We see from the graph that our answers are reasonable because the graph of
 0 is that of an even function ( is an odd function) and the graph of  00 is
that of an odd function. Furthermore,  0 = 0 when  has a horizontal
tangent and  00 = 0 when  0 has a horizontal tangent.
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°
SECTION 2.8
THE DERIVATIVE AS A FUNCTION
¤
157


2( + )2 − ( + )3 − (22 − 3 )
 ( + ) −  ()
= lim
55.  0 () = lim
→0
→0


(4 + 2 − 32 − 3 − 2 )
= lim (4 + 2 − 32 − 3 − 2 ) = 4 − 32
→0
→0

= lim
 00 () = lim
→0


4( + ) − 3( + )2 − (4 − 32 )
 0 ( + ) −  0 ()
(4 − 6 − 3)
= lim
= lim
→0
→0



= lim (4 − 6 − 3) = 4 − 6
→0
 00 ( + ) −  00 ()
[4 − 6( + )] − (4 − 6)
−6
= lim
= lim
= lim (−6) = −6
→0
→0
→0 
→0


 000 () = lim
 (4) () = lim
→0
 000 ( + ) −  000 ()
−6 − (−6)
0
= lim
= lim = lim (0) = 0
→0
→0 
→0


The graphs are consistent with the geometric interpretations of the
derivatives because  0 has zeros where  has a local minimum and a local
maximum,  00 has a zero where  0 has a local maximum, and  000 is a
constant function equal to the slope of  00 .
56. (a) Since we estimate the velocity to be a maximum
at  = 10, the acceleration is 0 at  = 10.
(b) Drawing a tangent line at  = 10 on the graph of ,  appears to decrease by 10 fts2 over a period of 20 s.
So at  = 10 s, the jerk is approximately −1020 = −05 (fts2 )s or fts3 .
57. (a) Note that we have factored  −  as the difference of two cubes in the third step.
 0() = lim
→
= lim
→
 () −  ()
13 − 13
13 − 13
= lim
= lim 13
13
→
→
−
−
( −  )(23 + 13 13 + 23 )
1
1
= 23 or 13 −23
23 + 13 13 + 23
3
(0 + ) − (0)
= lim
(b)  (0) = lim
→0
→0

0
√
3
−0
1
= lim 23 . This function increases without bound, so the limit does not
→0 

exist, and therefore  0(0) does not exist.
(c) lim | 0 ()| = lim
→0
→0
1
= ∞ and  is continuous at  = 0 (root function), so  has a vertical tangent at  = 0.
323
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°
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CHAPTER 2
58. (a)  0(0) = lim
→0
(b)  0() = lim
→
LIMITS AND DERIVATIVES
() − (0)
23 − 0
1
= lim
= lim 13 , which does not exist.
→0
→0 
−0

() − ()
23 − 23
(13 − 13 )(13 + 13 )
= lim
= lim 13
→
→ (
−
−
− 13 )(23 + 13 13 + 23 )
= lim
→ 23
213
2
13 + 13
= 23 = 13 or
13
13
23
+ 
+
3
3
2 −13

3
(c) () = 23 is continuous at  = 0 and
lim |0()| = lim
→0
→0
2
3 ||13
(d)
= ∞. This shows that
 has a vertical tangent line at  = 0.
59.  () = | − 6| =

−6
if  − 6 ≥ 6
−( − 6) if  − 6  0
So the right­hand limit is lim
→6+
is lim
→6−
=

 − 6 if  ≥ 6
6 −  if   6
 () −  (6)
| − 6| − 0
−6
= lim
= lim
= lim 1 = 1, and the left­hand limit
−6
−6
→6+
→6+  − 6
→6+
() − (6)
| − 6| − 0
6−
= lim
= lim
= lim (−1) = −1. Since these limits are not equal,
−6
−6
→6−
→6−  − 6
→6−
 () −  (6)
does not exist and  is not differentiable at 6.
−6

−1 if   6
However, a formula for  0 is  0 () =
1
if   6
 0 (6) = lim
→6
Another way of writing the formula is  0 () =
−6
.
| − 6|
60.  () = [[]] is not continuous at any integer , so  is not differentiable
at  by the contrapositive of Theorem 4. If  is not an integer, then 
is constant on an open interval containing , so  0() = 0. Thus,
 0() = 0,  not an integer.
 2

if  ≥ 0
61. (a)  () =  || =
2
− if   0
(b) Since  () = 2 for  ≥ 0, we have  0 () = 2 for   0.
[See Exercise 19(d).] Similarly, since  () = −2 for   0,
we have  0 () = −2 for   0. At  = 0, we have
 0 (0) = lim
→0
 () −  (0)
 ||
= lim
= lim || = 0
→0 
→0
−0
So  is differentiable at 0. Thus,  is differentiable for all .
0
(c) From part (b), we have  () =

2 if  ≥ 0
−2 if   0

= 2 ||.
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°
SECTION 2.8
62. (a) || =

THE DERIVATIVE AS A FUNCTION
if  ≥ 0

−
if   0

so () =  + || =
2
0
if  ≥ 0
if   0
.
Graph the line  = 2 for  ≥ 0 and graph  = 0 (the x­axis) for   0.
(b)  is not differentiable at  = 0 because the graph has a corner there, but
is differentiable at all other values; that is,  is differentiable on (−∞ 0) ∪ (0 ∞).
(c) () =

2
0
if  ≥ 0
if   0
0
⇒  () =

2
if   0
0
if   0
Another way of writing the formula is 0 () = 1 + sgn  for  6= 0.
63. (a) If  is even, then
 0 (−) = lim
→0
= lim
→0
 (− + ) −  (−)
 [−( − )] −  (−)
= lim
→0


 ( − ) − ()
 ( − ) −  ()
= − lim
→0

−
= − lim
∆→0
[let ∆ = −]
 ( + ∆) −  ()
= − 0 ()
∆
Therefore,  0 is odd.
(b) If  is odd, then
 0 (−) = lim
→0
= lim
→0
= lim
 (− + ) −  (−)
 [−( − )] −  (−)
= lim
→0


−( − ) +  ()
 ( − ) − ()
= lim
→0

−
∆→0
[let ∆ = −]
 ( + ∆) −  ()
=  0 ()
∆
Therefore,  0 is even.

0 if  ≤ 0
64. (a)  () =
 if   0
0
(0) = lim
−
 (0 + ) −  (0)
0−0
0
= lim
= lim
= lim 0 = 0


→0−
→0− 
→0−
0
+
(0) = lim
 (0 + ) −  (0)
(0 + ) − 0

= lim
= lim
= lim 1 = 1


→0+
→0+ 
→0+
→0−
→0+
Since these one­sided derivatives are not equal,  0(0) does not exist, so  is not differentiable at 0.

0
if  ≤ 0
(b)  () =
2

if   0
0
(0) = lim
−
 (0 + ) −  (0)
0−0
0
= lim
= lim
= lim 0 = 0
−
−



→0
→0
→0−
0
+
(0) = lim
 (0 + ) −  (0)
(0 + )2 − 02
2
= lim
= lim
= lim  = 0
+
+



→0
→0
→0+
→0−
→0+
Since these one­sided derivatives are equal,  0(0) exists (and equals 0), so  is differentiable at 0.
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°
¤
159
160
¤
CHAPTER 2
LIMITS AND DERIVATIVES

0




5
−
65. (a)  () =

 1


5−
if  ≤ 0
if 0    4
if  ≥ 4
Note that as  → 0− , 4 +   4, so  (4 + ) = 5 − (4 + ). As  → 0+ , 4 +   4, so  (4 + ) =
0
−
(4) = lim
→0−
= lim
→0−
0
(4)
+
 (4 + ) −  (4)
[5 − (4 + )] − (5 − 4)
(5 − 4 − ) − 1
= lim
= lim



→0−
→0−
1
.
5 − (4 + )
−
= lim (−1) = −1

→0−
1
1
1
−
−1
(4 + ) − (4)
5 − (4 + )
5−4
1
−

= lim
= lim
= lim



→0+
→0+
→0+
1−
1
−

1
1
−

1
−  = lim 1 − (1 − ) = lim
= lim
=1
= lim

→0+
→0+ (1 − )
→0+ (1 − )
→0+ 1 − 
(b)
(c)  is discontinuous at  = 0 (jump discontinuity) and at
 = 5 (infinite discontinuity).
(d)  is not differentiable at  = 0 [discontinuous, from part (c)],  = 4 [one­sided derivatives are not equal, from part (a)],
and at  = 5 [discontinuous, from part (c)].
66. (a) The initial temperature of the water is close to room temperature because of
(b)
the water that was in the pipes. When the water from the hot water tank
starts coming out,   is large and positive as  increases to the
temperature of the water in the tank. In the next phase,  = 0 as the
water comes out at a constant, high temperature. After some time, 
becomes small and negative as the contents of the hot water tank are
exhausted. Finally, when the hot water has run out,  is once again 0 as
the water maintains its (cold) temperature.
67. These graphs are idealizations conveying the spirit of the problem. In reality, changes in speed are not instantaneous, so the
graph in (a) would not have corners and the graph in (b) would be continuous.
(a)
(b)
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°
CHAPTER 2 REVIEW
¤
161
In the right triangle in the diagram, let ∆ be the side opposite angle  and ∆
68.
the side adjacent to angle . Then the slope of the tangent line 
is  = ∆∆ = tan . Note that 0   

2.
We know (see Exercise 19)
that the derivative of () = 2 is  0 () = 2. So the slope of the tangent to
the curve at the point (1 1) is 2. Thus,  is the angle between 0 and

2
whose
tangent is 2; that is,  = tan−1 2 ≈ 63◦ .
2 Review
1. False.
Limit Law 2 applies only if the individual limits exist (these don’t).
2. False.
Limit Law 5 cannot be applied if the limit of the denominator is 0 (it is).
3. True.
Limit Law 5 applies.
4. False.
2 − 9
is not defined when  = 3, but  + 3 is.
−3
5. True.
lim
6. True.
→3
2 − 9
( + 3)( − 3)
= lim
= lim ( + 3)
→3
→3
−3
( − 3)
The limit doesn’t exist since  ()() doesn’t approach any real number as  approaches 5.
(The denominator approaches 0 and the numerator doesn’t.)
7. False.
Consider lim
→5
( − 5)
sin( − 5)
or lim
. The first limit exists and is equal to 5. By Example 2.2.2, we know that
→5
−5
−5
the latter limit exists (and it is equal to 1).
8. False.
If  () = 1, () = −1, and  = 0, then lim () does not exist, lim () does not exist, but
→0
→0
lim [() + ()] = lim 0 = 0 exists.
→0
9. True.
→0
Suppose that lim [ () + ()] exists. Now lim () exists and lim () does not exist, but
→
→
→
lim () = lim {[ () + ()] −  ()} = lim [ () + ()] − lim () [by Limit Law 2], which exists, and
→
→
→
→
we have a contradiction. Thus, lim [ () + ()] does not exist.
→
10. True.
A polynomial is continuous everywhere, so lim () exists and is equal to ().
11. False.
Consider lim [() − ()] = lim
→
→0
approaches ∞.
12. True.
→0


1
1
−
. This limit is −∞ (not 0), but each of the individual functions
2
4
See Figure 2.6.8.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
162
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CHAPTER 2 LIMITS AND DERIVATIVES
13. False.
Consider  () = sin  for  ≥ 0. lim  () 6= ±∞ and  has no horizontal asymptote.
→∞

1( − 1) if  6= 1
14. False.
Consider  () =
15. False.
The function  must be continuous in order to use the Intermediate Value Theorem. For example, let

1
if 0 ≤   3
 () =
There is no number  ∈ [0 3] with  () = 0.
−1 if  = 3
16. True.
Use Theorem 2.5.8 with  = 2,  = 5, and () = 42 − 11. Note that  (4) = 3 is not needed.
17. True.
Use the Intermediate Value Theorem with  = −1,  = 1, and  = , since 3    4.
if  = 1
2
18. True, by the definition of a limit with  = 1.
19. False.
For example, let  () =
2
 + 1 if  6= 0
if  = 0
2


Then ()  1 for all , but lim  () = lim 2 + 1 = 1.
→0
20. False.
21. True.
22. False.
23. True.
→0
See the note after Theorem 2.8.4.
 0() exists ⇒  is differentiable at 
 2
is the second derivative while
2
 2

 2
=
0,
but
= 1.
then
2




⇒  is continuous at 
2
⇒
lim  () =  ().
→
is the first derivative squared. For example, if  = ,
 () = 10 − 102 + 5 is continuous on the interval [0 2],  (0) = 5,  (1) = −4, and  (2) = 989. Since
−4  0  5, there is a number  in (0 1) such that  () = 0 by the Intermediate Value Theorem. Thus, there is a
solution of the equation 10 − 102 + 5 = 0 in the interval (0 1). Similarly, there is a solution in (1 2).
24. True.
See Exercise 2.5.76(b).
25. False.
See Exercise 2.5.76(c).
26. False.
For example, let  () =  and  = 0. Then  is differentiable at , but | | = || is not.
1. (a) (i) lim  () = 3
→2+
(ii)
lim  () = 0
→−3+
(iii) lim  () does not exist since the left and right limits are not equal. (The left limit is −2.)
→−3
(iv) lim  () = 2
→4
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
CHAPTER 2 REVIEW
(v) lim  () = ∞
(vi) lim  () = −∞
(vii) lim  () = 4
(viii) lim  () = −1
→0
¤
→2−
→∞
→−∞
(b) The equations of the horizontal asymptotes are  = −1 and  = 4.
(c) The equations of the vertical asymptotes are  = 0 and  = 2.
(d)  is discontinuous at  = −3, 0, 2, and 4. The discontinuities are jump, infinite, infinite, and removable, respectively.
2.
lim () = −2,
→∞
lim  () = −∞,
→3+
→−∞
→3−
lim  () = 0,
lim  () = ∞,
→−3
lim  () = 2,
 is continuous from the right at 3
3. Since the cosine function is continuous on (−∞ ∞), lim cos(3 + 3) = cos(03 + 3 · 0) = cos 0 = 1.
→0
4. Since a rational function is continuous on its domain, lim
→3
5. lim
→−3
6. lim
2
2
→1+ 
32 − 9
0
2 − 9
=
=
= 0.
2 + 2 − 3
32 + 2(3) − 3
12
−3 − 3
−6
3
2 − 9
( + 3)( − 3)
−3
= lim
= lim
=
=
=
+ 2 − 3 →−3 ( + 3)( − 1) →−3  − 1
−3 − 1
−4
2
2 − 9
2 − 9
= −∞ since 2 + 2 − 3 → 0+ as  → 1+ and 2
 0 for 1    3.
+ 2 − 3
 + 2 − 3
 3



 − 32 + 3 − 1 + 1
( − 1)3 + 1
3 − 32 + 3
= lim
= lim
= lim 2 − 3 + 3 = 3
7. lim
→0
→0
→0
→0



Another solution: Factor the numerator as a sum of two cubes and then simplify.


[( − 1) + 1] ( − 1)2 − 1( − 1) + 12
( − 1)3 + 1
( − 1)3 + 13
lim
= lim
= lim
→0
→0
→0





= lim ( − 1)2 −  + 2 = 1 − 0 + 2 = 3
→0
8. lim
→2
2+2
4
1
2 − 4
( + 2)( − 2)
+2
= lim
= lim
=
=
=
3 − 8 →2 ( − 2)(2 + 2 + 4) →2 2 + 2 + 4
4+4+4
12
3
√
√


4
+
9. lim
= ∞ since ( − 9) → 0 as  → 9 and
 0 for  6= 9.
→9 ( − 9)4
( − 9)4
10. lim
→4+
4−
4−
1
= lim
= lim
= −1
|4 − | →4+ −(4 − ) →4+ −1
−1 − 4
−5
5
2 − 3 − 4
( − 4)( + 1)
−4
= lim
= lim
=
=
=
→−1 4 2 +  − 3
→−1 (4 − 3)( + 1)
→−1 4 − 3
4(−1) − 3
−7
7
11. lim
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°
163
164
¤
12. lim
→5
CHAPTER 2 LIMITS AND DERIVATIVES
√
√
√


3− +4
3− +4 3+ +4
9 − ( + 4)


√
√
= lim
= lim
→5
→5 ( − 5) 3 +
−5
−5
3+ +4
+4
= lim
→5
13. Since  is positive,
−1
1
5−
−1

 = lim
√
√
√
=
=−
→5 3 +
6
( − 5) 3 +  + 4
+4
3+ 5+4
√
2 = || = . Thus,

√
√
√
√
1 − 92
1
2 − 9
2 − 9 2
1−0
= lim
= lim
=
=
lim
→∞ 2 − 6
→∞ (2 − 6)
→∞
2 − 6
2−0
2
14. Since  is negative,
√
2 = || = −. Thus,

√
√
√
√
1 − 92
1
2 − 9
2 − 9 2
1−0
lim
= lim
= lim
=
=−
→−∞ 2 − 6
→−∞ (2 − 6)(−)
→−∞ −2 + 6
−2 + 0
2
15. Let  = sin . Then as  → − , sin  → 0+ , so  → 0+ . Thus, lim ln(sin ) = lim ln  = −∞.
→ −
16.
lim
→−∞
17. lim
→∞
→0+
(1 − 22 − 4 )4
14 − 22 − 1
0−0−1
−1
1
1 − 22 − 4
=
=
=
= lim
= lim
4
4
4
→−∞
→−∞
5 +  − 3
(5 +  − 3 )
54 + 13 − 3
0+0−3
−3
3
√
√ 2

 + 4 + 1 − 
2 + 4 + 1 + 
(2 + 4 + 1) − 2
·√
= lim √
2
→∞
→∞
1
 + 4 + 1 + 
2 + 4 + 1 + 


√
(4 + 1)
divide by  = 2 for   0
= lim √
→∞ (
2 + 4 + 1 + )
√

2 + 4 + 1 −  = lim
4 + 1
4
4+0
= =2
= lim 
= √
→∞
2
1+0+0+1
1 + 4 + 12 + 1
2
18. Let  =  − 2 = (1 − ). Then as  → ∞,  → −∞, and lim − = lim  = 0.
→∞
→−∞
19. Let  = 1. Then as  → 0+ ,  → ∞ , and lim tan−1 (1) = lim tan−1  =
→0+
20. lim
→1

1
1
+ 2
−1
 − 3 + 2


→∞

.
2



1
1
1
−2
+
+
= lim
→1  − 1
→1 ( − 1)( − 2)
( − 1)( − 2)
( − 1)( − 2)


1
1
−1
= lim
=
= −1
= lim
→1 ( − 1)( − 2)
→1  − 2
1−2
= lim


21. From the graph of  = cos2  2 , it appears that  = 0 is the horizontal
asymptote and  = 0 is the vertical asymptote. Now 0 ≤ (cos )2 ≤ 1 ⇒
0
cos2 
1
≤
≤ 2
2

2

⇒ 0≤
cos2 
1
≤ 2 . But lim 0 = 0 and
→±∞
2

1
cos2 
=
0,
so
by
the
Squeeze
Theorem,
lim
= 0.
→±∞ 2
→±∞
2
lim
cos2 
= ∞ because cos2  → 1 and 2 → 0+ as  → 0, so  = 0 is the
→0
2
Thus,  = 0 is the horizontal asymptote. lim
vertical asymptote.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
¤
CHAPTER 2 REVIEW
22. From the graph of  =  () =
165
√
√
2 +  + 1 − 2 − , it appears that there are 2 horizontal asymptotes and possibly 2
vertical asymptotes. To obtain a different form for  , let’s multiply and divide it by its conjugate.
√
√
√
√
 2 +  + 1 + 2 − 
(2 +  + 1) − (2 − )
√
√
1 () =
= √
2 +  + 1 − 2 −  √
2
2
 ++1+  −
2 +  + 1 + 2 − 
2 + 1
√
= √
2 +  + 1 + 2 − 
Now
2 + 1
√
lim 1 () = lim √
2
→∞
 +  + 1 + 2 − 
→∞
2 + (1)

= lim 
→∞
1 + (1) + (12 ) + 1 − (1)
=
[since
√
2 =  for   0]
2
= 1,
1+1
so  = 1 is a horizontal asymptote. For   0, we have
√
2 = || = −, so when we divide the denominator by ,
with   0, we get



√
√
√
√
1
1
1
2 +  + 1 + 2 − 
2 +  + 1 + 2 − 
√
=−
=−
1+ + 2 + 1−




2
Therefore,
2 + 1
2 + (1)


√
= lim
lim 1 () = lim √

2
2
→−∞
→∞
 ++1+  −
−
1 + (1) + (12 ) + 1 − (1)
→−∞
=
2
= −1
−(1 + 1)
so  = −1 is a horizontal asymptote.
The domain of  is (−∞ 0] ∪ [1 ∞). As  → 0− ,  () → 1, so
√
 = 0 is not a vertical asymptote. As  → 1+ ,  () → 3, so  = 1
is not a vertical asymptote and hence there are no vertical asymptotes.
23. Since 2 − 1 ≤ () ≤ 2 for 0    3 and lim (2 − 1) = 1 = lim 2 , we have lim  () = 1 by the Squeeze Theorem.
→1

→1


→1


24. Let () = −2 , () = 2 cos 12 and () = 2 . Then since cos 12  ≤ 1 for  6= 0, we have
 () ≤ () ≤ () for  6= 0, and so lim  () = lim () = 0 ⇒
→0
→0
lim () = 0 by the Squeeze Theorem.
→0
25. Given   0, we need   0 such that if 0  | − 2|  , then |(14 − 5) − 4|  . But |(14 − 5) − 4|  
|−5 + 10|  
⇔
|−5| | − 2|   ⇔ | − 2|  5. So if we choose  = 5, then 0  | − 2|  
|(14 − 5) − 4|  . Thus, lim (14 − 5) = 4 by the definition of a limit.
→2
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°
⇔
⇒
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¤
CHAPTER 2 LIMITS AND DERIVATIVES
√
√
√
26. Given   0 we must find   0 so that if 0  | − 0|  , then | 3  − 0|  . Now | 3  − 0| = | 3 |  
⇒
√

√
√
3
⇒ | 3  − 0| = | 3 | = 3 ||  3 = .
√ 3
|| = | 3 |  3 . So take  = 3 . Then 0  | − 0| = ||  3
Therefore, by the definition of a limit, lim
→0
√
3
 = 0.


27. Given   0, we need   0 so that if 0  | − 2|  , then 2 − 3 − (−2)  . First, note that if | − 2|  1, then
−1   − 2  1, so 0   − 1  2 ⇒ | − 1|  2. Now let  = min {2 1}. Then 0  | − 2|  

 2
 − 3 − (−2) = |( − 2)( − 1)| = | − 2| | − 1|  (2)(2) = .
⇒
Thus, lim (2 − 3) = −2 by the definition of a limit.
→2
√
28. Given   0, we need   0 such that if 0   − 4  , then 2  − 4  . This is true
 − 4  4 2 . So if we choose  = 4 2 , then 0   − 4  
 √

lim 2  − 4 = ∞.
⇔
√
 − 4  2
⇔
√
⇒ 2  − 4  . So by the definition of a limit,
→4+
29. (a)  () =
√
− if   0,  () = 3 −  if 0 ≤   3,  () = ( − 3)2 if   3.
(ii) lim  () = lim
(i) lim  () = lim (3 − ) = 3
→0+
→0−
→0+
(iii) Because of (i) and (ii), lim  () does not exist.
√
− = 0
(iv) lim  () = lim (3 − ) = 0
→0
→3−
(v) lim  () = lim ( − 3)2 = 0
→3+
→0−
→3−
(vi) Because of (iv) and (v), lim  () = 0.
→3
→3+
(b)  is discontinuous at 0 since lim  () does not exist.
→0
(c)
 is discontinuous at 3 since  (3) does not exist.
30. (a) () = 2 − 2 if 0 ≤  ≤ 2, () = 2 −  if 2   ≤ 3, () =  − 4 if 3    4, () =  if  ≥ 4.
Therefore, lim () = lim
→2−
→2−


2 − 2 = 0 and lim () = lim (2 − ) = 0. Thus, lim () = 0 =  (2),
→2+
→2
→2+
so  is continuous at 2. lim () = lim (2 − ) = −1 and lim () = lim ( − 4) = −1. Thus,
→3−
→3−
→3+
→3+
(b)
lim () = −1 = (3), so  is continuous at 3.
→3
lim () = lim ( − 4) = 0 and lim () = lim  = .
→4−
→4−
→4+
→4+
Thus, lim () does not exist, so  is discontinuous at 4. But
→4
lim () =  = (4), so  is continuous from the right at 4.
→4+
31. sin  and  are continuous on  by Theorem 2.5.7. Since  is continuous on , sin  is continuous on  by Theorem 2.5.9.
Lastly,  is continuous on  since it’s a polynomial and the product sin  is continuous on its domain  by Theorem 2.5.4.
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°
CHAPTER 2 REVIEW
32. 2 − 9 is continuous on  since it is a polynomial and
¤
167
√
 is continuous on [0 ∞) by Theorem 2.5.7, so the composition
√


2 − 9 is continuous on  | 2 − 9 ≥ 0 = (−∞ −3] ∪ [3 ∞) by Theorem 2.5.9. Note that 2 − 2 6= 0 on this set and
√
2 − 9
is continuous on its domain, (−∞ −3] ∪ [3 ∞) by Theorem 2.5.4.
so the quotient function () = 2
 −2
33.  () = 5 − 3 + 3 − 5 is continuous on the interval [1 2],  (1) = −2, and (2) = 25. Since −2  0  25, there is a
number  in (1 2) such that  () = 0 by the Intermediate Value Theorem. Thus, there is a solution of the equation
5 − 3 + 3 − 5 = 0 in the interval (1 2).
34.  () = cos
√
 −  + 2 is continuous on the interval [0 1], (0) = 2, and  (1)  −02. Since −02  0  2, there is a
number  in (0 1) such that  () = 0 by the Intermediate Value Theorem. Thus, there is a solution of the equation
√
√
cos  −  + 2 = 0, or cos  =  − 2, in the interval (0 1).
35. (a) The slope of the tangent line at (2 1) is
lim
→2
 () −  (2)
9 − 22 − 1
8 − 22
−2(2 − 4)
−2( − 2)( + 2)
= lim
= lim
= lim
= lim
→2
→2
→2
→2
−2
−2
−2
−2
−2
= lim [−2( + 2)] = −2 · 4 = −8
→2
(b) An equation of this tangent line is  − 1 = −8( − 2) or  = −8 + 17.
36. For a general point with ­coordinate , we have
 = lim
→
= lim
→
() − ()
2(1 − 3) − 2(1 − 3)
2(1 − 3) − 2(1 − 3)
= lim
= lim
→
→ (1 − 3)(1 − 3)( − )
−
−
6
6( − )
6
= lim
=
(1 − 3)(1 − 3)( − ) → (1 − 3)(1 − 3)
(1 − 3)2
For  = 0,  = 6 and  (0) = 2, so an equation of the tangent line is  − 2 = 6( − 0) or  = 6 + 2 For  = −1,  =
and  (−1) = 12 , so an equation of the tangent line is  −
1
2
= 38 ( + 1) or  = 38  + 78 .
37. (a)  = () = 1 + 2 + 2 4. The average velocity over the time interval [1 1 + ] is
ave =

1 + 2(1 + ) + (1 + )2 4 − 134
10 + 2
10 + 
(1 + ) − (1)
=
=
=
(1 + ) − 1

4
4
So for the following intervals the average velocities are:
(i) [1 3]:  = 2, ave = (10 + 2)4 = 3 ms
(iii) [1 15]:  = 05, ave = (10 + 05)4 = 2625 ms
(b) When  = 1, the instantaneous velocity is lim
→0
(ii) [1 2]:  = 1, ave = (10 + 1)4 = 275 ms
(iv) [1 11]:  = 01, ave = (10 + 01)4 = 2525 ms
10
(1 + ) − (1)
10 + 
= lim
=
= 25 ms.
→0

4
4
38. (a) When  increases from 200 in3 to 250 in3 , we have ∆ = 250 − 200 = 50 in3 , and since  = 800 ,
∆ =  (250) −  (200) =
is
800
800
−
= 32 − 4 = −08 lbin2 . So the average rate of change
250
200
∆
−08
lbin2
=
= −0016
.
∆
50
in3
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3
8
168
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CHAPTER 2 LIMITS AND DERIVATIVES
(b) Since  = 800 , the instantaneous rate of change of  with respect to  is
lim
→0
∆
 ( + ) −  ( )
800( + ) − 800
800 [ − ( + )]
= lim
= lim
= lim
→0
→0
→0
∆


( + )
= lim
→0
800
−800
=− 2
( + )

which is inversely proportional to the square of  .
39. (a)  0 (2) = lim
→2
= lim
→2
() −  (2)
3 − 2 − 4
= lim
→2
−2
−2
(c)
( − 2)(2 + 2 + 2)
= lim (2 + 2 + 2) = 10
→2
−2
(b)  − 4 = 10( − 2) or  = 10 − 16
40. 26 = 64, so  () = 6 and  = 2.
41. (a)  0 () is the rate at which the total cost changes with respect to the interest rate. Its units are dollars(percent per year).
(b) The total cost of paying off the loan is increasing by $1200(percent per year) as the interest rate reaches 10%. So if the
interest rate goes up from 10% to 11%, the cost goes up approximately $1200.
(c) As  increases,  increases. So  0 () will always be positive.
42.
43.
44.
2
2
22 − 2( + )2
− 2
2
( + ) −  ()
( + )

2 ( + )2
= lim
= lim
45.  0 () = lim
→0
→0
→0



= lim
22 − 22 − 4 − 22
−4 − 22
 (−4 − 2)
=
lim
= lim
→0 2 ( + )2
→0 2 ( + )2
2 ( + )2
= lim
−4
4
−4 − 2
= 2 2 =− 3
2 ( + )2
 ·

→0
→0
Domain of  0 = (−∞ 0) ∪ (0 ∞).
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°
CHAPTER 2 REVIEW

√
 + 1 − ( + ) + 1
1
1


−√
√
+1
( + ) + 1
( + ) + 1  + 1
 ( + ) − ()
= lim
= lim
46.  0 () = lim
→0
→0
→0



√



√
 + 1 − ( + ) + 1
 + 1 + ( + ) + 1

= lim 
√
√
→0 
( + ) + 1  + 1
 + 1 + ( + ) + 1
= lim
→0
= lim
→0
( + 1) − [( + ) + 1]
√



√
 ( + ) + 1  + 1
 + 1 + ( + ) + 1
−
√



√
 ( + ) + 1  + 1
 + 1 + ( + ) + 1
−1
√

= lim 

√
→0
( + ) + 1  + 1
 + 1 + ( + ) + 1
1
−1
1
√
 =−
√
√
√
=−
= √
+1 +1 +1+ +1
( + 1) 2  + 1
2 ( + 1)32
Domain of  0 = (−1 ∞).
( + ) −  ()
= lim
47. (a)  () = lim
→0
→0

0
= lim
→0


√
√
3 − 5( + ) − 3 − 5 3 − 5( + ) + 3 − 5

√

3 − 5( + ) + 3 − 5
−5
[3 − 5( + )] − (3 − 5)
−5

 = lim 
= √
√
√
→0
2
3
− 5
3
−
5(
+
)
+
3
−
5

3 − 5( + ) + 3 − 5
(b) Domain of  : (the radicand must be nonnegative) 3 − 5 ≥ 0 ⇒


5 ≤ 3 ⇒  ∈ −∞ 35
Domain of  0 : exclude


 ∈ −∞ 35
3
5
because it makes the denominator zero;
(c) Our answer to part (a) is reasonable because  0 () is always negative and
 is always decreasing.
48. (a) As  → ±∞,  () = (4 − )(3 + ) → −1, so there is a horizontal
asymptote at  = −1. As  → −3+ ,  () → ∞, and as  → −3− ,
 () → −∞. Thus, there is a vertical asymptote at  = −3.
(b) Note that  is decreasing on (−∞ −3) and (−3 ∞), so  0 is negative on
those intervals. As  → ±∞,  0 → 0. As  → −3− and as  → −3+ ,
 0 → −∞.
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°
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169
170
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CHAPTER 2 LIMITS AND DERIVATIVES
4−
4 − ( + )
−

(
+
)
−

()
3
+
(
+
)
3+
(3 + ) [4 − ( + )] − (4 − ) [3 + ( + )]
= lim
= lim
(c)  0 () = lim
→0
→0
→0


 [3 + ( + )] (3 + )
= lim
(12 − 3 − 3 + 4 − 2 − ) − (12 + 4 + 4 − 3 − 2 − )
[3 + ( + )](3 + )
= lim
7
−7
−7
= lim
=−
 [3 + ( + )] (3 + ) →0 [3 + ( + )] (3 + )
(3 + )2
→0
→0
(d) The graphing device confirms our graph in part (b).
49.  is not differentiable: at  = −4 because  is not continuous, at  = −1 because  has a corner, at  = 2 because  is not
continuous, and at  = 5 because  has a vertical tangent.
50. The graph of  has tangent lines with positive slope for   0 and negative slope for   0, and the values of  fit this pattern,
so  must be the graph of the derivative of the function for . The graph of  has horizontal tangent lines to the left and right of
the ­axis and  has zeros at these points. Hence,  is the graph of the derivative of the function for . Therefore,  is the graph
of  ,  is the graph of  0 , and  is the graph of  00 .
51. Domain: (−∞ 0) ∪ (0 ∞); lim () = 1; lim  () = 0;
→0−
→0+
 0 ()  0 for all  in the domain; lim  0 () = 0; lim  0 () = 1
→−∞
→∞
52. (a)  0 () is the rate at which the percentage of Americans under the age of 18 is changing with respect to time. Its units are
percent per year (%yr).
(b) To find  0 (), we use lim
→0
For 1950:  0 (1950) ≈
 ( + ) −  ()  ( + ) −  ()
≈
for small values of .


357 − 311
 (1960) −  (1950)
=
= 046
1960 − 1950
10
For 1960: We estimate  0 (1960) by using  = −10 and  = 10, and then average the two results to obtain a
final estimate.
 = −10 ⇒  0 (1960) ≈
 = 10 ⇒  0 (1960) ≈
311 − 357
 (1950) −  (1960)
=
= 046
1950 − 1960
−10
340 − 357
 (1970) −  (1960)
=
= −017
1970 − 1960
10
So we estimate that  0 (1960) ≈ 12 [046 + (−017)] = 0145.

1950
1960
1970
1980
1990
2000
2010
0
0460
0145
−0385
−0415
−0115
−0085
−0170
 ()
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°
CHAPTER 2 REVIEW
¤
(c)
(d) We could get more accurate values for  0 () by obtaining data for the mid­decade years 1955, 1965, 1975, 1985, 1995,
and 2005.
53.  0 () is the rate at which the number of US $20 bills in circulation is changing with respect to time. Its units are billions of
bills per year. We use a symmetric difference quotient (see Exercise 2.7.60) to estimate  0 (2010).
 0 (2010) 
(2015) − (2005)
857 − 577
(2010 + 5) − (2010 − 5)
=
=
= 0280 billion of bills per year
(2010 + 5) − (2010 − 5)
2(5)
10
(or 280 million bills per year).
54. (a) Drawing slope triangles, we obtain the following estimates:  0 (1950) ≈
and  0 (1987) ≈
02
10
11
10
= 011,  0 (1965) ≈
−16
10
= −016,
= 002.
(b) The rate of change of the average number of children born to each woman was increasing by 011 in 1950, decreasing
by 016 in 1965, and increasing by 002 in 1987.
(c) There are many possible reasons:
• In the baby­boom era (post­WWII), there was optimism about the economy and family size was rising.
• In the baby­bust era, there was less economic optimism, and it was considered less socially responsible to have a
large family.
• In the baby­boomlet era, there was increased economic optimism and a return to more conservative attitudes.
55. | ()| ≤ ()
⇔ −() ≤  () ≤ () and lim () = 0 = lim −().
→
→
Thus, by the Squeeze Theorem, lim  () = 0.
→
56. (a) Note that  is an even function since () =  (−). Now for any integer ,
[[]] + [[−]] =  −  = 0, and for any real number  which is not an integer,
[[]] + [[−]] = [[]] + (− [[]] − 1) = −1. So lim  () exists (and is equal to −1)
→
for all values of .
(b)  is discontinuous at all integers.
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°
171
PROBLEMS PLUS
1. Let  =
√
6
, so  = 6 . Then  → 1 as  → 1, so
√
3
1+1
2
−1
2 − 1
( − 1)( + 1)
+1
= lim 3
= lim
= lim 2
= 2
= .
lim √
→1
→1  − 1
→1 ( − 1) (2 +  + 1)
→1  +  + 1
1 +1+1
3
−1
√

√
√
3
2 + 3  + 1 .
Another method: Multiply both the numerator and the denominator by (  + 1)
√
√
 +  − 2
 +  + 2
 +  − 4
 . Now since the denominator
= lim √
·√
→0

 +  + 2 →0   +  + 2
2. First rationalize the numerator: lim
approaches 0 as  → 0, the limit will exist only if the numerator also approaches 0 as  → 0. So we require that

(0) +  − 4 = 0 ⇒  = 4. So the equation becomes lim √
=1 ⇒
→0
 + 4 + 2

√
= 1 ⇒  = 4.
4+2
Therefore,  =  = 4.
3. For − 12   
Therefore, lim
→0
1
2,
we have 2 − 1  0 and 2 + 1  0, so |2 − 1| = −(2 − 1) and |2 + 1| = 2 + 1.
|2 − 1| − |2 + 1|
−(2 − 1) − (2 + 1)
−4
= lim
= lim
= lim (−4) = −4.
→0
→0
→0



4. Let  be the midpoint of  , so the coordinates of  are
Since the slope  =
1
2



 12 2 since the coordinates of  are  2 . Let  = (0 ).
2
1
= ,  = − (negative reciprocal). But  =


1 2
2 − 
1
−0
2
=
2 − 2
, so we conclude that



−1 = 2 − 2 ⇒ 2 = 2 + 1 ⇒  = 12 2 + 12 . As  → 0,  → 12  and the limiting position of  is 0 12 .
5. (a) For 0    1, [[]] = 0, so
[[]]
lim
= lim
→0− 
→0−

−1


[[]]
−1
[[]]
[[]]
= 0, and lim
= 0. For −1    0, [[]] = −1, so
=
, and



→0+ 
= ∞. Since the one­sided limits are not equal, lim
→0
[[]]
does not exist.

(b) For   0, 1 − 1 ≤ [[1]] ≤ 1 ⇒ (1 − 1) ≤ [[1]] ≤ (1) ⇒ 1 −  ≤ [[1]] ≤ 1.
As  → 0+ , 1 −  → 1, so by the Squeeze Theorem, lim [[1]] = 1.
→0+
For   0, 1 − 1 ≤ [[1]] ≤ 1 ⇒ (1 − 1) ≥ [[1]] ≥ (1) ⇒ 1 −  ≥ [[1]] ≥ 1.
As  → 0− , 1 −  → 1, so by the Squeeze Theorem, lim [[1]] = 1.
→0−
Since the one­sided limits are equal, lim [[1]] = 1.
→0
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CHAPTER 2 PROBLEMS PLUS
2
2
2
6. (a) [[]] + [[]] = 1. Since [[]] and [[]]2 are positive integers or 0, there are
only 4 cases:
Case (i): [[]] = 1, [[]] = 0
⇒1 ≤   2 and 0 ≤   1
Case (ii): [[]] = −1, [[]] = 0 ⇒−1 ≤   0 and 0 ≤   1
Case (iii):[[]] = 0, [[]] = 1
⇒0 ≤   1 and 1 ≤   2
Case (iv): [[]] = 0, [[]] = −1 ⇒0 ≤   1 and −1 ≤   0
(b) [[]]2 − [[]]2 = 3. The only integral solution of 2 − 2 = 3 is  = ±2
and  = ±1. So the graph is
{( ) | [[]] = ±2, [[]] = ±1} =


 2 ≤  ≤ 3 or −2 ≤   1

.
( ) 
 1 ≤   2 or −1 ≤   0

(c) [[ + ]]2 = 1 ⇒ [[ + ]] = ±1 ⇒ 1 ≤  +   2
or −1 ≤  +   0
(d) For  ≤    + 1, [[]] = . Then [[]] + [[]] = 1 ⇒ [[]] = 1 −  ⇒
1 −  ≤   2 − . Choosing integer values for  produces the graph.
7. (a) The function () =  [[]] is defined whenever [[]] 6= 0. Since [[]] = 0 for  ∈ [0 1), it follows that the domain of  is
(−∞ 0) ∪ [1 ∞).
To determine the range we examine the values of  on the intervals (−∞ 0) and [1 ∞) separately. A graph of  is
helpful here.
On (−∞ 0), consider the intervals [− − + 1) for each positive integer . On each such interval,  is decreasing,
 () = 1, and
lim
lim
→(−+1)−
 () =
→(−+1)−
lim
→(−+1)−

[[]]
=
− + 1
1
=1−
−

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°
CHAPTER 2 PROBLEMS PLUS
¤
175
So the range of  on the interval [− − + 1) is (1 − 1 1]. The intervals (1 − 1 1] are nested and their union is just
the largest one, which occurs when  = 1. So the range of  on (−∞ 0) is (0 1].
On [1 ∞), consider the intervals [  + 1), for each positive integer . On each such interval,  is increasing,
 () = 1, and
lim
lim
→(+1)−
 () =
→(+1)−
lim
→(+1)−

[[]]
=
+1
1
=1+


So the range of  on the interval [  + 1) is [1 1 + 1). The intervals [1 1 + 1) are nested and their union is the
largest one, which occurs when  = 1. So the range of  on [1 ∞) is [1 2).
Finally, combining the preceding results, we see that the range of  is (0 1] ∪ [1 2), or (0 2).
(b) First note that  − 1 ≤ [[]] ≤ . For   0,
[[]]

−1
≤
≤ . For   2, taking reciprocals, we have







≥
≥ 1. Now lim
= 1 and lim 1 = 1. It follows by the Squeeze Theorem that lim
= 1.
→∞  − 1
→∞
→∞ [[]]
−1
[[]]
8. (a) Here are a few possibilities:
(b) The “obstacle” is the line  =  (see diagram). Any intersection of the graph of  with the line  =  constitutes a fixed
point, and if the graph of the function does not cross the line somewhere in (0 1), then it must either start at (0 0)
(in which case 0 is a fixed point) or finish at (1 1) (in which case 1 is a fixed point).
(c) Consider the function  () = () − , where  is any continuous function with domain [0 1] and range in [0 1]. We
shall prove that  has a fixed point. Now if  (0) = 0 then we are done:  has a fixed point (the number 0), which is what
we are trying to prove. So assume  (0) 6= 0. For the same reason we can assume that  (1) 6= 1. Then  (0) =  (0)  0
and  (1) = (1) − 1  0. So by the Intermediate Value Theorem, there exists some number  in the interval (0 1) such
that  () =  () −  = 0. So  () = , and therefore  has a fixed point.
9.

 lim [ () + ()] = 2
→
 lim [ () − ()] = 1
→
⇒

 lim () + lim () = 2
→
→
 lim () − lim () = 1
→
→
Adding equations (1) and (2) gives us 2 lim  () = 3 ⇒
→
lim [ () ()] = lim  () · lim () =
→
→
→
3
2
·
1
2
(1)
(2)
lim  () = 32 . From equation (1), lim () = 12 . Thus,
→
→
= 34 .
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°
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CHAPTER 2 PROBLEMS PLUS
10. (a) Solution 1: We introduce a coordinate system and drop a perpendicular
from  , as shown. We see from ∠ that tan 2 =

, and from
1−
∠ that tan  =  . Using the double­angle formula for tangents,
we get

2 tan 
2( )
= tan 2 =
=
. After a bit of
1−
1 − tan2 
1 − ( )2
simplification, this becomes
2
1
= 2
1−
 − 2
⇔  2 =  (3 − 2).
As the altitude  decreases in length, the point  will approach the ­axis, that is,  → 0, so the limiting location of 
must be one of the roots of the equation (3 − 2) = 0. Obviously it is not  = 0 (the point  can never be to the left of
the altitude , which it would have to be in order to approach 0) so it must be 3 − 2 = 0, that is,  = 23 .
Solution 2: We add a few lines to the original diagram, as shown. Now note
that ∠  = ∠  (alternate angles;  k  by symmetry) and
similarly ∠ = ∠. So ∆  and ∆ are isosceles, and
the line segments ,  and   are all of equal length. As || → 0,
 and  approach points on the base, and the point  is seen to approach a
position two­thirds of the way between  and , as above.
(b) The equation  2 = (3 − 2) calculated in part (a) is the equation of
the curve traced out by  . Now as || → ∞, 2  →

,
2
→

,
4
 → 1, and since tan  = ,  → 1. Thus,  only traces out the
part of the curve with 0 ≤   1.
11. (a) Consider () =  ( + 180◦ ) −  (). Fix any number . If () = 0, we are done: Temperature at  = Temperature
at  + 180◦ . If ()  0, then ( + 180◦ ) =  ( + 360◦ ) −  ( + 180◦ ) =  () −  ( + 180◦ ) = −()  0.
Also,  is continuous since temperature varies continuously. So, by the Intermediate Value Theorem,  has a zero on the
interval [  + 180◦ ]. If ()  0, then a similar argument applies.
(b) Yes. The same argument applies.
(c) The same argument applies for quantities that vary continuously, such as barometric pressure. But one could argue that
altitude above sea level is sometimes discontinuous, so the result might not always hold for that quantity.


( + ) −  ()
( + )
( + ) − ()
( + ) ( + ) − ()
= lim
= lim
+
→0
→0
→0




12.  0 () = lim
=  lim
→0
 ( + ) −  ()
+ lim  ( + ) =  0 () +  ()
→0

because  is differentiable and therefore continuous.
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°
CHAPTER 2 PROBLEMS PLUS
13. (a) Put  = 0 and  = 0 in the equation:  (0 + 0) = (0) +  (0) + 02 · 0 + 0 · 02
¤
⇒  (0) = 2 (0).
Subtracting (0) from each side of this equation gives  (0) = 0.


(0) +  () + 02  + 02 −  (0)
 (0 + ) −  (0)
 ()
()
= lim
= lim
= lim
=1
→0
→0
→0
→0




(b)  0 (0) = lim


 () +  () + 2  + 2 −  ()
( + ) −  ()
 () + 2  + 2
(c)  () = lim
= lim
= lim
→0
→0
→0





 ()
+ 2 +  = 1 + 2
= lim
→0

0
14. We are given that | ()| ≤ 2 for all . In particular, | (0)| ≤ 0, but || ≥ 0 for all . The only conclusion is
 2
 


2
 
  () −  (0)    () 
=
 = | ()| ≤  =  = || ⇒ −|| ≤  () −  (0) ≤ ||.
that (0) = 0. Now 



−0

||
||
||
−0
But lim (−||) = 0 = lim ||, so by the Squeeze Theorem, lim
→0
→0
→0
 () −  (0)
= 0. So by the definition of a derivative,
−0
 is differentiable at 0 and, furthermore,  0 (0) = 0.
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°
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3
DIFFERENTIATION RULES
3.1 Derivatives of Polynomials and Exponential Functions
 − 1
= 1.
→0

1. (a)  is the number such that lim
(b)

27 − 1


28 − 1

−0001
−00001
0001
00001
09928
09932
09937
09933
−0001
−00001
0001
00001
10291
10296
10301
10297
2. (a)
From the tables (to two decimal places),
lim
→0
27 − 1
28 − 1
= 099 and lim
= 103.
→0


Since 099  1  103, 27    28.
The function value at  = 0 is 1 and the slope at  = 0 is 1.
(b)  () =  is an exponential function and () =  is a power function.
 

( ) =  and
( ) = −1 .


(c)  () =  grows more rapidly than () =  when  is large.
⇒ 0 () = 4(1) + 0 = 4
3. () = 4 + 7
4. () = 5 + 42
⇒  0 () = 5(1) + 4(22−1 ) = 5(1) + 4(2) = 5 + 8
5.  () = 75 −  + 3
6. () =
7 2
4
− 3 + 12 ⇒  0 () = 74 (22−1 ) − 3(1) + 0 = 74 (2) − 3 = 72  − 3
7.  () = −2
⇒  0 () = −2( ) = −2
8.  () = 3 + 3
⇒  0 () = 32 + 0 = 32
9.  () = 18 −3
11.  () = 32 + −3
12.  () = −35 + 4
[Note that 3 is constant, so its derivative is zero.]
⇒  0 () = 18(−3 −3−1 ) = 18(−3 −4 ) = −54 −4
10. () =  −5 −  12
13. () =
⇒  0 () = 7575−1 − 1(1) + 0 = 7574 − 1
⇒  0 () = −5 −6 − 12  −12
⇒  0 () = 32 12 + (−3−4 ) = 32 12 − 3−4
⇒  0 () = − 35 −85 + 43
1
1
+ 2 = −1 + −2




1
2
⇒ 0 () = −−2 + −2−3 = −−2 − 2−3 = − 2 − 3


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CHAPTER 3 DIFFERENTIATION RULES
14. () =


+ 4 = −2 + −4
2

15.  = 2 +
√
 = 2 + 12
⇒ 0 () = (−2−3 ) + (−4−5 ) = −2−3 − 4−5 = −
1
⇒  0 = 2(1) + 12 −12 = 2 + 12 −12 or 2 + √
2 
√
√
√
√
2  − 2 ⇒ 0 () = 2 (1) − 0 = 2
16. () =
1
17. () = √ +

18.  () =
√
4
 = −12 + 14
√
 − 2 = 12 − 2
19.  () = 3 ( + 3) = 4 + 33
2
4
= 3 + 4−13

21.  = 3 + √
3
22. () = 42
⇒  0 () = − 12 −32 + 14 −34 or −
⇒  0 () = 43 + 3(32 ) = 43 + 92
⇒  0 () = 4(2) − 12(1) + 0 = 8 − 12
⇒
 0 = 3( ) + 4(− 13 )−43 = 3 − 43 −43 or 3 −
⇒  0 = − 32 −52 + (−1−2 ) = − 32 −52 − −2
332
52
332 + 52
=
+
= 332−22 + 52−22 = 312 + 32





3√
3

0 () = 3 12 −12 + 32 12 = 32 −12 + 32 12 or √ +
2
2 
25. () =
√
5 +
√
7 √ 12 √ −1
= 5
+ 7

27. () = 24 + 24
28. () =  + 
29.  () =
⇒ 0 () =
⇒  0 () = 2414 + 0 = 2414
⇒ 0 () =  + −1
 0 () = (−2 −3 ) + (−1 −2 ) + 0 = −2−3 −  −2 = −
30. () = 1 +  −1
31. () =
0 () =
⇒
√
√
√  1 −12  √ 

5
7
+ 7 −1−2 = √ − 2
5 2

2 
 +  +  2


 2
=
+
+
= −2 +  −1 + 
2
2
2
2

4
√
3

⇒  0 () = 3(1) + 2 = 3 + 2
√
√

+

=
+ 2 = 12−2 + 1−2 = −32 + −1
2
2

26. () =
3
⇒  0 () = 4(2) = 8
32
3
32 + 3
=
+
= 3 + 2



23.  () =
1
1
√ + √
4
2  4 3
1
⇒  0 () = 12 −12 − 2( ) = 12 −12 − 2 or √ − 2
2 
20.  () = (2 − 3) = 42 − 12 + 9
24.  =
2
4
− 5
3

2
= 1 + 2 −1 +  −2
2

2 + 
− 2 or −
3

3
⇒ 0 () = 0 + 2(−1 −2 ) + (−2 −3 ) = −2 −2 − 2 −3
1 + 162
1 + 162
1 −3 1 −1
 + 
=
=
3
(4)
643
64
4
1
(−3−4 )
64
⇒
⇒
3 −4
+ 14 (−1−2 ) = − 64
 − 14 −2 or −
3
1
3 + 162
−
or
−
644
42
644
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°
SECTION 3.1 DERIVATIVES OF POLYNOMIALS AND EXPONENTIAL FUNCTIONS
√
√
3
3
 − 2

2
=
−
=  −23 − 2
32.  () =



181
⇒  0 () = − 23  −53 − 2

4
22
22 −  + 4
√
= √ − √ + √ = 22−12 − 1−12 + 4−12 = 232 − 12 + 4−12








√
2
1
 0 () = 2 32 12 − 12 −12 + 4 − 12 −32 = 312 − 12 −12 − 2−32 or 3  − √ − √
2 
 
33.  () =
34.  = +1 + 1 =  1 + 1 =  ·  + 1
¤
⇒
⇒  0 =  ·  = +1
35.  = 2 + 3 .
To find , we treat  as a constant and  as a variable to get  = (2) + 3 (1) = 2 + 3 .
To find , we treat  as a constant and  as a variable to get  = (1)2 + (32 ) = 2 + 32 .
36.  =


+ = −2 + −1 .
2

To find , we treat  as a constant and  as a variable to get  = (−2−3 ) + (1)−1 = −2−3 + −1 or
−
2
1
+ .
3

To find , we treat  as a constant and  as a variable to get  = (1)−2 + (−1−2 ) = −2 − −2 or
37.  = 23 − 2 + 2
1

− 2.
2

⇒  0 = 62 − 2. At (1 3),  0 = 6(1)2 − 2(1) = 4 and an equation of the tangent line is
 − 3 = 4( − 1) or  = 4 − 1.
38.  = 2 + 
⇒  0 = 2 + 1. At (0 2),  0 = 20 + 1 = 3 and an equation of the tangent line is  − 2 = 3( − 0) or
 = 3 + 2.
2
=  + 2−1

39.  =  +
⇒  0 = 1 − 2−2 . At (2 3),  0 = 1 − 2(2)−2 =
1
2
and an equation of the tangent line is
 − 3 = 12 ( − 2) or  = 12  + 2.
40.  =
√
4
 −  = 14 −  ⇒  0 = 14 −34 − 1 =
1
√
− 1. At (1 0),  0 =
4
4 3
1
4
− 1 = − 34 and an equation of the
tangent line is  − 0 = − 34 ( − 1) or  = − 34  + 34 .
41.  = 4 + 2
⇒  0 = 43 + 2 . At (0 2),  0 = 2 and an equation of the tangent line is  − 2 = 2( − 0)
or  = 2 + 2. The slope of the normal line is − 12 (the negative reciprocal of 2) and an equation of the normal line is
 − 2 = − 12 ( − 0) or  = − 12  + 2.
⇒  0 = 32 12 . At (1 1),  0 = 32 and an equation of the tangent line is  − 1 = 32 ( − 1) or  = 32  − 12 .


The slope of the normal line is − 23 the negative reciprocal of 32 and an equation of the normal line is  − 1 = − 23 ( − 1)
42.  = 32
or  = − 23  + 53 .
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°
182
¤
CHAPTER 3 DIFFERENTIATION RULES
43.  = 32 − 3
⇒  0 = 6 − 32 .
At (1 2),  0 = 6 − 3 = 3, so an equation of the tangent line is
 − 2 = 3( − 1) or  = 3 − 1.
44.  =  −
√
 ⇒  0 = 1 − 12 −12 = 1 −
1
√ .
2 
At (1 0),  0 = 12 , so an equation of the tangent line is
 − 0 = 12 ( − 1) or  = 12  − 12 .
45.  () = 4 − 23 + 2
⇒  0 () = 43 − 62 + 2
Note that  0 () = 0 when  has a horizontal tangent,  0 is positive
when  is increasing, and  0 is negative when  is decreasing.
46.  () = 5 − 23 +  − 1
⇒  0 () = 54 − 62 + 1
Note that  0 () = 0 when  has a horizontal tangent,  0 is positive
when  is increasing, and  0 is negative when  is decreasing.
47. (a)
(b) From the graph in part (a), it appears that  0 is zero at 1 ≈ −125, 2 ≈ 05,
and 3 ≈ 3. The slopes are negative (so  0 is negative) on (−∞ 1 ) and
(2  3 ). The slopes are positive (so  0 is positive) on (1  2 ) and (3  ∞).
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°
SECTION 3.1 DERIVATIVES OF POLYNOMIALS AND EXPONENTIAL FUNCTIONS
¤
183
(c)  () = 4 − 33 − 62 + 7 + 30 ⇒
 0 () = 43 − 92 − 12 + 7
48. (a)
(b) From the graph in part (a), it appears that  0 is zero at 1 ≈ 02 and 2 ≈ 28.
The slopes are positive (so  0 is positive) on (−∞ 1 ) and (2  ∞). The slopes
are negative (so  0 is negative) on (1  2 ).
(c) () =  − 32
⇒ 0 () =  − 6
49.  () = 00015 − 0023
50. () =
√
√
3
+ 
⇒  0 () = 00054 − 0062
⇒  0 () = 12 −12 + 13 −23
51.  () = 2 − 534
⇒  0 () = 2 −
15 −14
4 
⇒  00 () = 0023 − 012
⇒  00 () = − 14 −32 − 29 −53
⇒  00 () =
15 −54
16 
Note that  0 is negative when  is decreasing and positive when  is
increasing.  00 is always positive since  0 is always increasing.
52.  () =  − 3
⇒  0 () =  − 32
⇒  00 () =  − 6
Note that  0 () = 0 when  has a horizontal tangent and that  00 () = 0
when  0 has a horizontal tangent.
53. (a)  = 3 − 3
⇒ () = 0 () = 32 − 3 ⇒ () =  0 () = 6
(b) (2) = 6(2) = 12 ms2
(c) () = 32 − 3 = 0 when 2 = 1, that is,  = 1 [ ≥ 0] and (1) = 6 ms2 .
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°
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¤
CHAPTER 3 DIFFERENTIATION RULES
54. (a)  = 4 − 23 + 2 − 
0
3
(c)
⇒
2
() =  () = 4 − 6 + 2 − 1 ⇒
() =  0 () = 122 − 12 + 2
(b) (1) = 12(1)2 − 12(1) + 2 = 2 m s2
55.  = 001553 − 03722 + 395 + 121
⇒

= 004652 − 0744 + 395, so

 
= 00465(12)2 − 0744(12) + 395 = 1718. The derivative is the instantaneous rate of change of the length (in

 =12
inches) of an Alaskan rockfish with respect to its age when its age is 12 years. Its units are inchesyear.
56. () = 08820842
⇒  0 () = 0882(0842−0158 ) = 0742644−0158 , so
 0 (100) = 0742644(100)−0158 ≈ 036. The derivative is the instantaneous rate of change of the number of tree species with
respect to area. Its units are number of species per square meter.
53
53

and  = 50 when  = 0106, so  =   = 50(0106) = 53. Thus,  =
and  =
.



57. (a)  =
(b)  = 53 −1
53

53

= 53(−1 −2 ) = − 2 . When  = 50,
= − 2 = −000212. The derivative is the



50
⇒
instantaneous rate of change of the volume with respect to the pressure at 25◦ C. Its units are m3kPa.
58. (a)  =  2 +  + , where   −0275428,   1974853, and   −27355234.
(b)



= 2 + . When  = 30,
 32, and when  = 40,
 −23. The derivative is the instantaneous rate of



change of tire life with respect to pressure. Its units are (thousands of miles)(lbin2 ). When
increasing, and when

is positive, tire life is


 0, tire life is decreasing.

59.  = 3 + 32 − 9 + 10
⇒  0 = 32 + 3(2) − 9(1) + 0 = 32 + 6 − 9. Horizontal tangents occur where  0 = 0.
Thus, 32 + 6 − 9 = 0 ⇒ 3(2 + 2 − 3) = 0 ⇒ 3( + 3)( − 1) = 0 ⇒  = −3 or  = 1. The
corresponding points are (−3 37) and (1 5).
60.  () =  − 2
⇒  0 () =  − 2.  0 () = 0 ⇒  = 2 ⇒  = ln 2, so  has a horizontal tangent when
 = ln 2
61.  = 2 + 3 + 53
⇒  0 = 2 + 3 + 152 . Since 2  0 and 152 ≥ 0, we must have  0  0 + 3 + 0 = 3, so no
tangent line can have slope 2.
62.  = 4 + 1
⇒  0 = 43 . The slope of the line 32 −  = 15 (or  = 32 − 15) is 32, so the slope of any line parallel to
it is also 32. Thus,  0 = 32 ⇔ 43 = 32 ⇔ 3 = 8 ⇔  = 2, which is the ­coordinate of the point on the curve
at which the slope is 32. The ­coordinate is 24 + 1 = 17, so an equation of the tangent line is  − 17 = 32( − 2) or
 = 32 − 47.
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°
SECTION 3.1 DERIVATIVES OF POLYNOMIALS AND EXPONENTIAL FUNCTIONS
¤
185
63. The slope of the line 3 −  = 15 (or  = 3 − 15) is 3, so the slope of both tangent lines to the curve is 3.
 = 3 − 32 + 3 − 3 ⇒  0 = 32 − 6 + 3 = 3(2 − 2 + 1) = 3( − 1)2 . Thus, 3( − 1)2 = 3 ⇒
( − 1)2 = 1 ⇒  − 1 = ±1 ⇒  = 0 or 2, which are the ­coordinates at which the tangent lines have slope 3. The
points on the curve are (0 −3) and (2 −1), so the tangent line equations are  − (−3) = 3( − 0) or  = 3 − 3 and
 − (−1) = 3( − 2) or  = 3 − 7.
64. The slope of  = 1 + 2 − 3 is given by  =  0 = 2 − 3.
The slope of 3 −  = 5 ⇔  = 3 − 5 is 3.
 = 3 ⇒ 2 − 3 = 3 ⇒  = 3 ⇒  = ln 3.
This occurs at the point (ln 3 7 − 3 ln 3) ≈ (11 37).
65. The slope of  =
√
1
 is given by  = 12 −12 = √ . The slope of 2 +  = 1 (or  = −2 + 1) is −2, so the desired
2 
1
1
normal line must have slope −2, and hence, the tangent line to the curve must have slope 12 . This occurs if √ =
2
2 
√
√
 = 1 ⇒  = 1. When  = 1,  = 1 = 1, and an equation of the normal line is  − 1 = −2( − 1) or
⇒
 = −2 + 3.
66.  =  () = 2 − 1
⇒  0 () = 2. So  0 (−1) = −2, and the slope of the
normal line is 12 . The equation of the normal line at (−1 0) is
 − 0 = 12 [ − (−1)] or  = 12  + 12 . Substituting this into the equation of the
parabola, we obtain 12  +
1
2
= 2 − 1 ⇔  + 1 = 22 − 2 ⇔
22 −  − 3 = 0 ⇔ (2 − 3)( + 1) = 0 ⇔  =
67.
3
2
or −1. Substituting
3
2
into the equation of the normal line gives us  = 54 . Thus, the second point of


intersection is 32  54 , as shown in the sketch.


Let  2 be a point on the parabola at which the tangent line passes
through the point (0 −4). The tangent line has slope 2 and equation


 − (−4) = 2( − 0) ⇔  = 2 − 4. Since  2 also lies on the
line, 2 = 2() − 4, or 2 = 4. So  = ±2 and the points are (2 4)
and (−2 4).


68. (a) If  = 2 + , then  0 = 2 + 1. If the point at which a tangent meets the parabola is  2 +  , then the slope of the
tangent is 2 + 1. But since it passes through (2 −3), the slope must also be
Therefore, 2 + 1 =
∆
2 +  + 3
=
.
∆
−2
2 +  + 3
. Solving this equation for  we get 2 +  + 3 = 22 − 3 − 2 ⇔
−2
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°
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CHAPTER 3 DIFFERENTIATION RULES
2 − 4 − 5 = ( − 5)( + 1) = 0 ⇔  = 5 or −1. If  = −1, the point is (−1 0) and the slope is −1, so the
equation is  − 0 = (−1)( + 1) or  = − − 1. If  = 5, the point is (5 30) and the slope is 11, so the equation is
 − 30 = 11( − 5) or  = 11 − 25.
(b) As in part (a), but using the point (2 7), we get the equation
2 + 1 =
2 +  − 7
−2
⇒ 22 − 3 − 2 = 2 +  − 7 ⇔ 2 − 4 + 5 = 0.
The last equation has no real solution (discriminant = −16  0), so there is no line
through the point (2 7) that is tangent to the parabola. The diagram shows that the
point (2 7) is “inside” the parabola, but tangent lines to the parabola do not pass
through points inside the parabola.
1
1
−
1
 ( + ) − ()
 − ( + )
−
−1

+


= lim
= lim
= lim
= lim
=− 2
69.  () = lim
→0
→0
→0 ( + )
→0 ( + )
→0 ( + )



0
70. (a)  () = 
⇒  0 () = −1
⇒  00 () = ( − 1)−2
⇒ ···
⇒
 () () = ( − 1)( − 2) · · · 2 · 1− = !
(b)  () = −1
⇒  0 () = (−1)−2
⇒  00 () = (−1)(−2)−3
 () () = (−1)(−2)(−3) · · · (−)−(+1) = (−1) !−(+1) or
⇒ ···
⇒
(−1) !
+1
71. Let  () = 2 +  + . Then  0 () = 2 +  and  00 () = 2.  00 (2) = 2
⇒ 2 = 2 ⇒  = 1.
0
 (2) = 3 ⇒ 2(1)(2) +  = 3 ⇒ 4 +  = 3 ⇒  = −1.
 (2) = 5 ⇒ 1(2)2 + (−1)(2) +  = 5 ⇒ 2 +  = 5 ⇒  = 3. So  () = 2 −  + 3.
72.  = 2 +  + 
⇒  0 = 2 + 
⇒  00 = 2. We substitute these expressions into the equation
 00 +  0 − 2 = 2 to get
(2) + (2 + ) − 2(2 +  + ) = 2
2 + 2 +  − 22 − 2 − 2 = 2
(−2)2 + (2 − 2) + (2 +  − 2) = (1)2 + (0) + (0)
The coefficients of 2 on each side must be equal, so −2 = 1 ⇒  = − 12 . Similarly, 2 − 2 = 0 ⇒
 =  = − 12 and 2 +  − 2 = 0 ⇒ −1 −
73.  = () = 3 + 2 +  + 
1
2
− 2 = 0 ⇒  = − 34 .
⇒  0 () = 32 + 2 + . The point (−2 6) is on , so  (−2) = 6 ⇒
−8 + 4 − 2 +  = 6 (1). The point (2 0) is on  , so  (2) = 0 ⇒ 8 + 4 + 2 +  = 0 (2). Since there are
horizontal tangents at (−2 6) and (2 0),  0 (±2) = 0.  0 (−2) = 0 ⇒ 12 − 4 +  = 0 (3) and  0 (2) = 0 ⇒
12 + 4 +  = 0 (4). Subtracting equation (3) from (4) gives 8 = 0 ⇒  = 0. Adding (1) and (2) gives 8 + 2 = 6,
so  = 3 since  = 0. From (3) we have  = −12, so (2) becomes 8 + 4(0) + 2(−12) + 3 = 0 ⇒ 3 = 16 ⇒
3
3
3 3
= − 94 and the desired cubic function is  = 16
 = 16
. Now  = −12 = −12 16
 − 94  + 3.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.1 DERIVATIVES OF POLYNOMIALS AND EXPONENTIAL FUNCTIONS
74.  = 2 +  + 
¤
⇒  0 () = 2 + . The parabola has slope 4 at  = 1 and slope −8 at  = −1, so  0 (1) = 4 ⇒
2 +  = 4 (1) and  0 (−1) = −8
⇒ −2 +  = −8 (2). Adding (1) and (2) gives us 2 = −4 ⇔  = −2. From
(1), 2 − 2 = 4 ⇔  = 3. Thus, the equation of the parabola is  = 32 − 2 + . Since it passes through the point
(2 15), we have 15 = 3(2)2 − 2(2) +  ⇒  = 7, so the equation is  = 32 − 2 + 7.
75.  () =

2 + 1
if   1
+1
if  ≥ 1
Calculate the left­ and right­hand derivatives as defined in Exercise 2.8.64:
0
−
(1) = lim
(1 + ) − (1)
[(1 + )2 + 1] − (1 + 1)
2 + 2
= lim
= lim
= lim ( + 2) = 2 and



→0−
→0−
→0−
0
(1) = lim
+
 (1 + ) −  (1)
[(1 + ) + 1] − (1 + 1)

= lim
= lim
= lim 1 = 1.


→0+
→0+ 
→0+
→0−
→0+
Since the left and right limits are different,
lim
→0
(1 + ) − (1)
does not exist, that is,  0 (1)

does not exist. Therefore,  is not differentiable at 1.

2


76. () = 2 − 2


2−
if  ≤ 0
if 0    2
if  ≥ 2
Investigate the left­ and right­hand derivatives at  = 0 and  = 2:
0
−
(0) = lim
→0−
(0 + ) − (0)
2 − 2(0)
= lim
= 2 and


→0−
0
+
(0) = lim
(0 + ) − (0)
(2 − 2 ) − 2(0)
= lim
= lim (2 − ) = 2, so  is differentiable at  = 0.
+


→0
→0+
0
(2) = lim
−
(2 + ) − (2)
2(2 + ) − (2 + )2 − (2 − 2)
−2 − 2
= lim
= lim
= lim (−2 − ) = −2



→0−
→0−
→0−
→0+
→0−
and
0
(2) = lim
+
→0+
(2 + ) − (2)
[2 − (2 + )] − (2 − 2)
−
= lim
= lim
= lim (−1) = −1,


→0+
→0+ 
→0+
so  is not differentiable at  = 2. Thus, a formula for  0 is

2


0
 () = 2 − 2


−1
187
if  ≤ 0
if 0    2
if   2
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°
188
¤
CHAPTER 3 DIFFERENTIATION RULES
77. (a) Note that 2 − 9  0 for 2  9
 2
 −9



 () =
−2 + 9


 2
 −9
⇔ ||  3 ⇔ −3    3. So
if  ≤ −3
if −3    3
if  ≥ 3

2


0
−2
⇒  () =


2
To show that  0 (3) does not exist we investigate lim
→0
if   −3
if −3    3
if   3
=

2
−2
if ||  3
if ||  3
 (3 + ) −  (3)
by computing the left­ and right­hand derivatives

defined in Exercise 2.8.64.
 (3 + ) −  (3)
[−(3 + )2 + 9] − 0
= lim
= lim (−6 − ) = −6 and


→0−
→0−
→0−


(3 + )2 − 9 − 0
 (3 + ) −  (3)
6 + 2
0
= lim
= lim
= lim (6 + ) = 6.
(3) = lim
+



→0+
→0+
→0+
→0+
0
(3) = lim
−
(b)
Since the left and right limits are different,
lim
→0
 (3 + ) −  (3)
does not exist, that is,  0 (3)

does not exist. Similarly,  0 (−3) does not exist.
Therefore,  is not differentiable at 3 or at −3.
78. If  ≥ 1, then () = | − 1| + | + 2| =  − 1 +  + 2 = 2 + 1.
If −2    1, then () = −( − 1) +  + 2 = 3.
If  ≤ −2, then () = −( − 1) − ( + 2) = −2 − 1. Therefore,


−2 − 1 if  ≤ −2
−2




0
3
if −2    1
0
() =
⇒  () =




2 + 1
if  ≥ 1
2
To see that 0 (1) = lim
→1
observe that lim
→1−
lim
→1+
if   −2
if −2    1
if   1
() − (1)
does not exist,
−1
() − (1)
3−3
= lim
= 0 but
−1
→1− 3 − 1
() − (1)
2 − 2
= lim
= 2. Similarly,
−1
→1+  − 1
0 (−2) does not exist.
79. Substituting  = 1 and  = 1 into  = 2 +  gives us  +  = 1 (1). The slope of the tangent line  = 3 − 2 is 3 and the
slope of the tangent to the parabola at ( ) is  0 = 2 + . At  = 1,  0 = 3 ⇒ 3 = 2 +  (2). Subtracting (1) from
(2) gives us 2 =  and it follows that  = −1. The parabola has equation  = 22 − .
80.  = 4 + 3 + 2 +  + 
have  = 1.
⇒ (0) = .
Since the tangent line  = 2 + 1 is equal to 1 at  = 0, we must
 0 = 43 + 32 + 2 +  ⇒  0 (0) = . Since the slope of the tangent line  = 2 + 1 at  = 0 is 2, we
must have  = 2. Now (1) = 1 +  +  +  +  =  +  + 4 and the tangent line  = 2 − 3 at  = 1 has ­coordinate −1,
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°
SECTION 3.1 DERIVATIVES OF POLYNOMIALS AND EXPONENTIAL FUNCTIONS
¤
189
so  +  + 4 = −1 or  +  = −5 (1). Also,  0 (1) = 4 + 3 + 2 +  = 3 + 2 + 6 and the slope of the tangent line
 = 2 − 3 at  = 1 is −3, so 3 + 2 + 6 = −3 or 3 + 2 = −9 (2). Adding −2 times (1) to (2) gives us  = 1 and
hence,  = −6. The curve has equation  = 4 + 3 − 62 + 2 + 1.
⇒  0 () = 2.
81.  = () = 2
So the slope of the tangent to the parabola at  = 2 is  = 2(2) = 4. The slope
of the given line, 2 +  =  ⇔  = −2 + , is seen to be −2, so we must have 4 = −2 ⇔  = − 12 . So when
 = 2, the point in question has ­coordinate − 12 · 22 = −2. Now we simply require that the given line, whose equation is
2 +  = , pass through the point (2 −2): 2(2) + (−2) =  ⇔  = 2. So we must have  = − 12 and  = 2.
√
 is  0 =

√ and the slope of the tangent line  = 32  + 6 is 32 . These must be equal at the


√
√ 

3
⇒  = 3 . The ­coordinates must be equal at  = , so
point of tangency    , so √ =
2
2 
 √ √
√
√
  = 32  + 6 ⇒
3 
 = 32  + 6 ⇒ 3 = 32  + 6 ⇒ 32  = 6 ⇒  = 4. Since  = 3 , we have
82. The slope of the curve  = 
=3
2
√
4 = 6.
83. The line  = 2 + 3 has slope 2. The parabola  = 2
⇒  0 = 2 has slope 2 at  = . Equating slopes gives us
2 = 2, or  = 1. Equating ­coordinates at  =  gives us 2 = 2 + 3 ⇔ () = 2 + 3 ⇔ 1 = 2 + 3 ⇔
 = −3. Thus,  =
1
1
=− .

3
⇒  0 () = 2 + . The slope of the tangent line at  =  is 2 + , the slope of the tangent line
84.  () = 2 +  + 
(2 + ) + (2 + )
=  +  + . The midpoint of the interval
2
 +  
+
[ ] is
and the slope of the tangent line at the midpoint is 2
+  = ( + ) + . This is equal to
2
2
at  =  is 2 + , and the average of those slopes is
 +  + , as required.
0
85.  is clearly differentiable for   2 and for   2. For   2,  0 () = 2, so −
(2) = 4. For   2,  0 () = , so
0
0
0
(2) = . For  to be differentiable at  = 2, we need 4 = −
(2) = +
(2) = . So  () = 4 + . We must also have
+
continuity at  = 2, so 4 =  (2) = lim  () = lim (4 + ) = 8 + . Hence,  = −4.
→2+
86. We have  () =

3 − 3
2
 + 2
→2+
if  ≤ 1
if   1
0
(1) = 3(1)2 − 3 = 3 − 3. For   1,  0 () = (2) + 0 = 2, so
For   1,  0 () = (32 ) − 3(1) = 32 − 3, so −
0
0
0
+
(1) = 2(1) = 2. For  to be differentiable at  = 1, we need −
(1) = +
(1), so 3 − 3 = 2, or  =
3 − 3
. For  to
2
be continuous at  = 1, we need _ (1) =  − 3 equal to + (1) =  + 2. So we have the system of two equations:
 − 3 =  + 2,  =
3 − 3
3 − 3
. Substituting the second equation into the first equation we have  − 3 =
+2 ⇒
2
2
2 − 6 = 3 − 3 + 4 ⇒  = −7 and  =
3(−7) − 3
= −12.
2
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°
190
¤
CHAPTER 3 DIFFERENTIATION RULES
87. Solution 1:
Let  () = 1000 . Then, by the definition of a derivative,  0 (1) = lim
→1
 () −  (1)
1000 − 1
= lim
.
→1
−1
−1
But this is just the limit we want to find, and we know (from the Power Rule) that  0 () = 1000999 , so
 0 (1) = 1000(1)999 = 1000. So lim
→1
1000 − 1
= 1000.
−1
Solution 2: Note that (1000 − 1) = ( − 1)(999 + 998 + 997 + · · · + 2 +  + 1). So
lim
→1
1000 − 1
( − 1)(999 + 998 + 997 + · · · + 2 +  + 1)
= lim
= lim (999 + 998 + 997 + · · · + 2 +  + 1)
→1
→1
−1
−1
= 1 + 1 + 1 + · · · + 1 + 1 + 1 = 1000, as above.



1000 ones
88. (a)  = 
⇒ =
 


. Let  =  . The slope of the tangent line at  =  is  0 () = − 2 . Its equation is




2

2

= − 2 ( − ) or  = − 2  + , so its ­intercept is . Setting  = 0 gives  = 2, so the ­intercept is 2.








2

The midpoint of the line segment joining 0
= .
and (2 0) is 


−
(b) We know the ­ and ­intercepts of the tangent line from part (a), so the area of the triangle bounded by the axes and the
tangent is 12 (base)(height) = 12  = 12 (2)(2) = 2, a constant.
89. In order for the two tangents to intersect on the ­axis, the points of tangency must be at
equal distances from the ­axis, since the parabola  = 2 is symmetric about the ­axis.




Say the points of tangency are  2 and − 2 , for some   0. Then since the
derivative of  = 2 is  = 2, the left­hand tangent has slope −2 and equation
 − 2 = −2( + ), or  = −2 − 2 , and similarly the right­hand tangent line has


equation  − 2 = 2( − ), or  = 2 − 2 . So the two lines intersect at 0 −2 . Now if the lines are perpendicular,


then the product of their slopes is −1, so (−2)(2) = −1 ⇔ 2 = 14 ⇔  = 12 . So the lines intersect at 0 − 14 .
From the sketch, it appears that there may be a line that is tangent to both
90.
curves. The slope of the line through the points  ( 2 ) and
( 2 − 2 + 2) is
2 − 2 + 2 − 2
. The slope of the tangent line at 
−
is 2 [ 0 = 2] and at  is 2 − 2 [ 0 = 2 − 2]. All three slopes are
equal, so 2 = 2 − 2 ⇔  =  − 1.
Also, 2 − 2 =
2 − 2 + 2 − 2
−
2 = 3 ⇒  =
 =  − 14 .
3
2
and  =
3
2
⇒ 2 − 2 =
2 − 2 + 2 − ( − 1)2
 − ( − 1)
⇒ 2 − 2 = 2 − 2 + 2 − 2 + 2 − 1 ⇒
− 1 = 12 . Thus, an equation of the tangent line at  is  −
 1 2
2

 
= 2 12  − 12 or
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°
APPLIED PROJECT BUILDING A BETTER ROLLER COASTER
91.  = 2
¤
191
⇒  0 = 2, so the slope of a tangent line at the point ( 2 ) is  0 = 2 and the slope of a normal line is −1(2),
for  6= 0. The slope of the normal line through the points ( 2 ) and (0 ) is
2 −  = − 12
2 − 
1
2 − 
, so
=−
−0

2
⇒
⇒ 2 =  − 12 . The last equation has two solutions if   12 , one solution if  = 12 , and no solution if
  12 . Since the ­axis is normal to  = 2 regardless of the value of  (this is the case for  = 0), we have three normal lines
if  
1
2
and one normal line if  ≤ 12 .
APPLIED PROJECT Building a Better Roller Coaster
1. (a)  () = 2 +  + 
⇒  0 () = 2 + .
The origin is at  :
 (0) = 0
0
The slope of the ascent is 08:
 (0) = 08
⇒
=0
⇒
 = 08
 0 (100) = −16 ⇒ 200 +  = −16
The slope of the drop is −16:
(b)  = 08, so 200 +  = −16 ⇒ 200 + 08 = −16 ⇒ 200 = −24 ⇒  = −
24
= −0012.
200
Thus,  () = −00122 + 08.
(c) Since 1 passes through the origin with slope 08, it has equation  = 08.
The horizontal distance between  and  is 100, so the ­coordinate at  is
 (100) = −0012(100)2 + 08(100) = −40. Since 2 passes through the
point (100 −40) and has slope −16, it has equation  + 40 = −16( − 100)
or  = −16 + 120.
(d) The difference in elevation between  (0 0) and (100 −40) is 0 − (−40) = 40 feet.
2. (a)
Interval
Function
First Derivative
Second Derivative
1 () = 08
01 ()
[0 10)
() = 3 + 2 +  + 
0 () = 32 + 2 + 
00 () = 6 + 2
[10 90]
() = 2 +  + 
 0 () = 2 + 
 00 () = 2
(−∞ 0)
(90 100]
() =  +  +  + 
 () = 3 + 2 + 
00 () = 6 + 2
(100 ∞)
2 () = −16 + 120
02 () = −16
002 () = 0
3
2
0
001 () = 0
= 08
2
There are 4 values of  (0, 10, 90, and 100) for which we must make sure the function values are equal, the first derivative
values are equal, and the second derivative values are equal. The third column in the following table contains the value of
each side of the condition — these are found after solving the system in part (b).
[continued]
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
192
¤
CHAPTER 3 DIFFERENTIATION RULES
At  =
Condition
0
Value
(0) = 1 (0)
0
 (0) =
00
 (0) =
10
01 (0)
001 (0)
0
 (10) =  (10)
00
00
 (10) =  (10)
90
(90) = (90)
0
0
 (90) =  (90)
00
00
 (90) =  (90)
100
(100) = 2 (100)
0
 (100) =
0
=0
4
5
 = 08
0
2 = 0
68
9
2
3
2
− 75
(10) = (10)
0
Resulting Equation
02 (100)
1000 + 100 + 10 +  = 100 + 10 + 
300 + 20 +  = 20 + 
60 + 2 = 2
− 220
9
− 22
15
2
− 75
729,000 + 8100 + 90 +  = 8100 + 90 + 
−40
1,000,000 + 10,000 + 100 +  = −40
24,300 + 180 +  = 180 + 
540 + 2 = 2
− 85
00 (100) = 002 (100)
30,000 + 200 +  = −16
0
600 + 2 = 0
(b) We can arrange our work in a 12 × 12 matrix as follows.











constant
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
08
0
0
0
0
2
0
0
0
0
0
0
0
−100
−10
−1
1000
100
10
1
0
0
0
0
0
−20
−1
0
300
20
1
0
0
0
0
0
0
−2
0
0
60
2
0
0
0
0
0
0
0
−8100
−90
−1
0
0
0
0
729,000
8100
90
1
0
−180
−1
0
0
0
0
0
24,300
180
1
0
0
−2
0
0
0
0
0
0
540
2
0
0
0
0
0
0
0
0
0
0
1,000,000
10,000
100
1
−40
0
0
0
0
0
0
0
30,000
200
1
0
−16
0
0
0
0
0
0
0
600
2
0
0
0
Solving the system gives us the formulas for , , and .

1
 = −0013 = − 75



14
1 2
() = − 75
 = 093 = 15
 +



4
 = −04 = − 9
 = 00004 =
14

15
1
2250
2
 = −013 = − 15
 = 1173 =
176
15
 = −3244 = −
−
4
9
1 
 = −00004 = − 2250





=0
 = 08 =





4
5
=0











2920
() =
1
3
2250
−
2 2

15
+
176

15
−
1
() = − 2250
3 + 45 
2920
9
9
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.2 THE PRODUCT AND QUOTIENT RULES
(c) Graph of 1 , , , , and 2 :
¤
193
The graph of the five functions as a piecewise­defined function:
This is the piecewise­defined function assignment on a
A comparison of the graphs in part 1(c) and part 2(c):
TI­83/4 Plus calculator, where Y2 = 1 , Y6 = , Y5 = ,
Y7 = , and Y3 = 2 .
3.2 The Product and Quotient Rules
1. Product Rule: () = (1 + 22 )( − 2 )
⇒
 0 () = (1 + 22 )(1 − 2) + ( − 2 )(4) = 1 − 2 + 22 − 43 + 42 − 43 = 1 − 2 + 62 − 83 .
Multiplying first:  () = (1 + 22 )( − 2 ) =  − 2 + 23 − 24
4 − 53 +
2. Quotient Rule:  () =
2
 0 () =
√

=
4 − 53 + 12
2
2 (43 − 152 + 12 −12 ) − (4 − 53 + 12 )(2)
(2 )2
25 − 54 − 32 32
= 2 − 5 − 32 −52
4
√
4 − 53 + 
Simplifying first:  () =
= 2 − 5 + −32
2
⇒  0 () = 1 − 2 + 62 − 83 (equivalent).
⇒
=
45 − 154 + 12 32 − 25 + 104 − 232
4
=
⇒  0 () = 2 − 5 − 32 −52 (equivalent).
For this problem, simplifying first seems to be the better method.
3. By the Product Rule,  = (42 + 3)(2 + 5)
⇒
 0 = (42 + 3)(2 + 5)0 + (2 + 5)(42 + 3)0 = (42 + 3)(2) + (2 + 5)(8)
= 82 + 6 + 162 + 40 = 242 + 40 + 6
4. By the Product Rule,  = (102 + 7 − 2)(2 − 2 )
0
2 0
⇒
 = (10 + 7 − 2)(2 −  ) + (2 −  )(10 + 7 − 2)0 = (102 + 7 − 2)(−2) + (2 − 2 )(20 + 7)
2
2
2
= −203 − 142 + 4 + 40 + 14 − 203 − 72 = −403 − 212 + 44 + 14
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
194
¤
CHAPTER 3 DIFFERENTIATION RULES
PR
QR
The notations ⇒ and ⇒ indicate the use of the Product and Quotient Rules, respectively.
PR
⇒  0 = 3 ( )0 +  (3 )0 = 3  +  · 32 =  (3 + 32 )
5.  = 3 
6.  = ( + 2)(2 − 1)
PR
⇒
 0 = ( + 2)(2 − 1)0 + (2 − 1)( + 2)0 = ( + 2)(2 ) + (2 − 1)( )
= 22 + 4 + 22 −  = 42 + 3 or  (4 + 3)
PR
7.  () = (32 − 5)
⇒
 0 () = (32 − 5)( )0 +  (32 − 5)0 = (32 − 5) +  (6 − 5)
=  [(32 − 5) + (6 − 5)] =  (32 +  − 5)
√
8. () = ( + 2  ) 
PR
⇒


√
√ 0
√
0 () = ( + 2  )( )0 +  ( + 2  ) = ( + 2  ) +  1 + 2 · 12 −12



√ 
√ 
√
√
=   + 2  + 1 + 1 
=  ( + 2  ) + 1 + 1 
9. By the Quotient Rule,  =
10. By the Quotient Rule,  =
3 − 2
5 + 1
11. () =
12. () =
0 () =
14.  () =
15.  =
QR
64 − 5
+1
⇒ 0 =

1 − 
⇒  0 () =
⇒ 0 =
(1 −  ) −  (− )
 − 2 + 2

=
=
.

2

2
(1 −  )
(1 −  )
(1 −  )2
(5 + 1)(−2) − (3 − 2)(5)
−10 − 2 − 15 + 10
17
=
=−
(5 + 1)2
(5 + 1)2
(5 + 1)2
QR
⇒
QR
⇒  0 () =
1
23 − 62 + 5
QR
(3 −  − 1)(5) − (5)(32 − 1)
53 − 5 − 5 − 153 + 5
103 + 5
=
=
−
(3 −  − 1)2
(3 −  − 1)2
(3 −  − 1)2
⇒  0 () =
(23 − 62 + 5)(0) − 1(62 − 12)
62 − 12
=
−
(23 − 62 + 5)2
(23 − 62 + 5)2
√
√
− 


=
−
= −1 − −32
2
2
2
16.  = √
 (1) − ( )
 (1 − )
1−
=
=
.
2


( )
( )2
( + 1)(243 − 5) − (64 − 5)(1)
244 − 5 + 243 − 5 − 64 + 5
184 + 243 − 5
=
=
( + 1)2
( + 1)2
( + 1)2
5
3 −  − 1
13.  () =


√

+1
⇒  0 = −−2 + 32 −52 =
√
−1
3
3−2 
+
=
2
252
252
√
 1  √  1 
1
1
1
√
√
− 
+1
+ √ −
QR
2
2
1
2 
2  =
2 
⇒ 0 =
√
√
2
2 = √ √
2
+1
+1
2 
+1
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.2 THE PRODUCT AND QUOTIENT RULES
17. () =

¤
195


PR
1
1
1
+
+ 2
= (−1 + −2 )( + −1 ) ⇒
 

 0 () = (−1 + −2 )( + −1 )0 + ( + −1 )(−1 + −2 )0 = (−1 + −2 )(1 − −2 ) + ( + −1 )(−−2 − 2−3 )


2
3
1
−1
−3
−2
−4
−1
−2
−3
−4
−2
−3
−4
=  −  +  −  −  − 2 −  − 2 = − − 2 − 3 = − 2 + 3 + 4



18. () = (2 + 3)(−1 − −4 )
PR
⇒
 0 () = (2 + 3)(−−2 + 4−5 ) + (−1 − −4 )(2 + 3)
= −1 + 4−3 − 3−1 + 12−4 + 2 + 3−1 − 2−3 − 3−4 = 1 + 2−3 + 9−4
Alternate solution: An easier method is to simplify first and then differentiate as follows:
 () = (2 + 3)(−1 − −4 ) =  − −2 + 3 − 3−3
⇒ 0 () = 1 + 2−3 + 9−4
√
√
PR
 )( +  ) ⇒
 




√
√ 
√
√ 
1
1
0
√
√
 () =  − 
+ + 
=  + 12  −  −
1+
1−
2 
2 
19. () = ( −
1
2
+−
1
2
√
√
+ −
1
2
= 2 − 1.
Alternate solution: An easier method is to simplify first and then differentiate as follows:
√
√
√
() = ( −  )( +  ) = 2 − (  )2 = 2 −  ⇒  0 () = 2 − 1
20.  () = (1 −  )( +  )
PR
⇒
 0 () = (1 −  )(1 +  ) + ( +  )(− ) = 12 − ( )2 −  − ( )2 = 1 −  − 22
√
21.  () = ( + 2 ) 
PR
⇒
√
√
√
2
3 + 2 + 4
1

 + 2 + 2 + 4
√
=
 0 () = ( + 2 ) √ +  (1 + 2 ) = √ + √ +  + 2   =
√
2 
2 
2 
2 
2 
22.  () =  (1 +  )
PR
⇒
 0 () =  [0 + ( +  (1))] + (1 +  )( )
[factor out  ]
=  ( +  + 1 +  ) =  (1 +  + 2 )
√
23.  =  ( +   ) =  ( + 32 )
24. () =

 + 
√
3

25.  () =
−3
 0 () =
QR
⇒ 0 () =



PR
√ 
√
⇒  0 =  1 + 32 12 + ( + 32 ) =  1 + 32  +  +  
( +  )( ) − ( )( )
 + 2 − 2

=
=
( +  )2
( +  )2
( +  )2
QR
⇒


( − 3) 13 −23 − 13 (1)
( − 3)2
=
1 13

3
3
−2
− 23
23
−2 − 3
3
3
=
= 23
( − 3)2
3 ( − 3)2
− 23 13 − −23
− −23 − 13
=
( − 3)2
( − 3)2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
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¤
CHAPTER 3 DIFFERENTIATION RULES
√
PR
26.  = ( 2 +  ) 
⇒


√
√
√

1
2
 0 = ( 2 +  ) √
+  (2 +  ) = √ + √ + 2  +  
2 
2 
2 
=
5 2 +  + 2
 2 +  + 4 2 + 2
√
√
=
2 
2 
2 
2 + 
27.  () =
QR
⇒


(2 +  ) 2  +  (2) − 2  (2 +  )
4  + 23  + 2 2 + 22 − 23  − 2 2
 () =
=
(2 +  )2
(2 +  )2
0
 (3 + 2 )
4  + 22
=
2

2
( +  )
(2 +  )2
=


=
2 + 3
 + 2
28.  () =
( + 2 )(0) − ( + 2)
−( + 2)
( + 2)
=
=− 2
( + 2 )2
()2 ( + )2
 ( + )2
 0 () =
29.  () =
30.  () =
QR
⇒


+

 + 
 + 
31.  () = 2 
QR
( + )(1) − (1 − 2 )
 +  −  + 
2
2
2
=
=
·
= 2




2
2
2
2
2
2


(
+ )2
(
+
)
 +
+
2



QR
( + )() − ( + )()
 +  −  − 
 − 
=
=
( + )2
( + )2
( + )2
⇒  0 () =
⇒  0 () =
PR
⇒  0 () = 2  +  (2) =  (2 + 2)
Using the Product Rule and  0 () =  (2 + 2), we get
 00 () =  (2 + 2) + (2 + 2) =  (2 + 2 + 2 + 2) =  (2 + 4 + 2)
32.  () =
√ 

PR
⇒  0 () =
√ 
  + 

1
√
2 

=


√
1
2 + 1
 + √  = √  .
2 
2 


Using the Product Rule and  0 () = 12 + 12 −12  , we get


 


42 + 4 − 1 

 00 () = 12 + 12 −12  +  12 −12 − 14 −32 = 12 + −12 − 14 −32  =
432
33.  () =
2
 00 () =
=
=

−1
QR
⇒  0 () =
(2 − 1)(1) − (2)
2 − 1 − 22
−2 − 1
=
= 2
2
2
2
2
( − 1)
( − 1)
( − 1)2
⇒
(2 − 1)2 (−2) − (−2 − 1)(4 − 22 + 1)0
(2 − 1)2 (−2) + (2 + 1)(43 − 4)
=
2
2
2
[( − 1) ]
(2 − 1)4
(2 − 1)2 (−2) + (2 + 1)(4)(2 − 1)
(2 − 1)[(2 − 1)(−2) + (2 + 1)(4)]
=
2
4
( − 1)
(2 − 1)4
−23 + 2 + 43 + 4
23 + 6
= 2
2
3
( − 1)
( − 1)3
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.2 THE PRODUCT AND QUOTIENT RULES
34.  () =

√
1+ 
¤
197
QR
⇒


√

√ 
1
2+ 
√
√
√
1 +  (1) −  √
1
1
2  = 1 + √− 2  = 1 +√2  =
2
√
 0 () =

√ 2
1+2 +
1+2 +
1+2 +
1+ 
√
√
2+ 
2+ 

√
= 
=
√
2 + 4  + 2
2 1+2 +
√
2+ 
√
Using the Quotient Rule and  () =
, we get
2 + 4  + 2



 1  
√
√ 
4
√
√ +2
2 + 4  + 2
− 2+ 
2 
2 
 00 () =

2
√
2 + 4  + 2
0
√
√
4
1
√ +2+ − √ −4−2−2 

= 

2
√
2 + 4  + 2
√
−3 − 4  − 
√
√
3+4 +

= 
=
−


2
√
√
√
2
2 + 4  + 2
 2 + 4 2
35.  =
2
1+
⇒ 0 =
(1 + )(2) − 2 (1)
2 + 22 − 2
2 + 2
=
=
2
2
(1 + )
(1 + )
(1 + )2


12 + 2 (1)
3
At 1 12 ,  0 =
= , and an equation of the tangent line is  −
(1 + 1)2
4
36.  =
1+
1 + 
⇒


At 0 12 ,  0 =
37.  =
3
1 + 52
0 =
= 34 ( − 1), or  = 34  − 14 .
(1 +  )(1) − (1 + )
1 +  −  − 
1 − 
=
=

2

2
(1 +  )
(1 +  )
(1 +  )2
1
1
= , and an equation of the tangent line is  −
(1 + 1)2
4
⇒ 0 =
1
2
1
2
= 14 ( − 0) or  = 14  + 12 .
(1 + 52 )(3) − 3(10)
3 + 152 − 302
3 − 152
=
=
2
2
2
2
(1 + 5 )
(1 + 5 )
(1 + 52 )2


3 − 15(12 )
−12
1
At 1 12 ,  0 =
= 2 = − , and an equation of the tangent line is  −
(1 + 5 · 12 )2
6
3
The slope of the normal line is 3, so an equation of the normal line is  −
38.  =  + 
1
2
1
2
= − 13 ( − 1), or  = − 13  + 56 .
= 3( − 1), or  = 3 − 52 .
⇒  0 = 1 + ( +  · 1) = 1 +  ( + 1)
At (0 0),  0 = 1 + 0 (0 + 1) = 1 + 1 · 1 = 2, and an equation of the tangent line is  − 0 = 2( − 0), or  = 2.
The slope of the normal line is − 12 , so an equation of the normal line is  − 0 = − 12 ( − 0), or  = − 12 .
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°
198
¤
CHAPTER 3 DIFFERENTIATION RULES
39. (a)  =  () =
1
1 + 2
(b)
⇒
(1 + 2 )(0) − 1(2)
−2
=
. So the slope of the
(1 + 2 )2
(1 + 2 )2
 0 () =


2
tangent line at the point −1 12 is  0 (−1) = 2 =
2
equation is  −
40. (a)  =  () =
1
2
1
2
and its
= 12 ( + 1) or  = 12  + 1.

1 + 2
(b)
⇒
(1 + 2 )1 − (2)
1 − 2
=
. So the slope of the
(1 + 2 )2
(1 + 2 )2
 0 () =
tangent line at the point (3 03) is  0 (3) =
−8
100
and its equation is
 − 03 = −008( − 3) or  = −008 + 054.
41. (a)  () = (3 − )
⇒  0 () = (3 − ) +  (32 − 1) =  (3 + 32 −  − 1)
 0 = 0 when  has a horizontal tangent line,  0 is negative when  is
(b)
decreasing, and  0 is positive when  is increasing.
42. (a)  () =
(b)
2 − 1
2 + 1
⇒
 0 () =
(2 + 1)(2) − (2 − 1)(2)
(2)[(2 + 1) − (2 − 1)]
(2)(2)
4
=
= 2
= 2
(2 + 1)2
(2 + 1)2
( + 1)2
( + 1)2
 00 () =
(2 + 1)2 (4) − 4(4 + 22 + 1)0
[(2 + 1)2 ]2
=
4(2 + 1)2 − 4(43 + 4)
4(2 + 1)2 − 162 (2 + 1)
=
(2 + 1)4
(2 + 1)4
=
4(2 + 1)[(2 + 1) − 42 ]
4(1 − 32 )
=
2
4
( + 1)
(2 + 1)3
⇒
 0 = 0 when  has a horizontal tangent and  00 = 0 when  0 has a
horizontal tangent.  0 is negative when  is decreasing and positive when 
is increasing.  00 is negative when  0 is decreasing and positive when  0 is
increasing.  00 is negative when  is concave down and positive when  is
concave up.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.2 THE PRODUCT AND QUOTIENT RULES
43.  () =
2
1+
⇒  0 () =
 00 () =
=
so  00 (1) =
44. () =


(1 + )(2) − 2 (1)
2 + 22 − 2
2 + 2
=
= 2
2
2
(1 + )
(1 + )
 + 2 + 1
(2 + 2 + 1)(2 + 2) − (2 + 2)(2 + 2)
(2 + 2)(2 + 2 + 1 − 2 − 2)
=
2
2
( + 2 + 1)
[( + 1)2 ]2
2( + 1)(1)
2
=
,
( + 1)4
( + 1)3
1
2
2
= = .
(1 + 1)3
8
4
⇒ 0 () =
 · 1 −  · 
 (1 − )
1−
=
=

2
( )
( )2

 · (−1) − (1 − )
 [−1 − (1 − )]
−2
=
=

2
( )
( )2

 00 () =
⇒
 000 () =
 · 1 − ( − 2)
 [1 − ( − 2)]
3−
=
=
( )2
( )2

 (4) () =
 · (−1) − (3 − )
 [−1 − (3 − )]
−4
=
=
.
( )2
( )2

The pattern suggests that  () () =
⇒
⇒
⇒
( − )(−1)
. (We could use mathematical induction to prove this formula.)

45. We are given that (5) = 1,  0 (5) = 6, (5) = −3, and 0 (5) = 2.
(a) ( )0 (5) =  (5) 0 (5) + (5) 0 (5) = (1)(2) + (−3)(6) = 2 − 18 = −16
(b)
 0
(5) 0 (5) − (5)0 (5)
(−3)(6) − (1)(2)
20

(5) =
=
=−

[(5)]2
(−3)2
9
(c)
 0
 (5) 0 (5) − (5) 0 (5)
(1)(2) − (−3)(6)

(5) =
=
= 20

[(5)]2
(1)2
46. We are given that (4) = 2, (4) = 5,  0 (4) = 6, and  0 (4) = −3.
(a) () = 3 () + 8() ⇒ 0 () = 3 0 () + 8 0 (), so
0 (4) = 3 0 (4) + 80 (4) = 3(6) + 8(−3) = 18 − 24 = −6.
(b) () =  () () ⇒ 0 () =  () 0 () + ()  0 (), so
0 (4) = (4)  0 (4) + (4)  0 (4) = 2(−3) + 5(6) = −6 + 30 = 24.
(c) () =
0 (4) =
(d) () =
0 (4) =
 ()
()
⇒ 0 () =
()  0 () − ()  0 ()
, so
[()]2
36
(4)  0 (4) −  (4)  0 (4)
5(6) − 2(−3)
30 + 6
=
.
=
=
[(4)]2
52
25
25
()
() + ()
⇒
[ (4) + (4)]  0 (4) − (4) [ 0 (4) +  0 (4)]
(2 + 5) (−3) − 5 [6 + (−3)]
−21 − 15
36
=
=
=−
2
2
2
(2
+
5)
7
49
[ (4) + (4)]
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
¤
199
200
¤
CHAPTER 3 DIFFERENTIATION RULES
⇒  0 () =   0 () + () =  [0 () + ()].  0 (0) = 0 [ 0 (0) + (0)] = 1(5 + 2) = 7
47.  () =  ()
48.


0 () − () · 1
 ()
=


2
⇒


−10
 ()
20 (2) − (2)
2(−3) − (4)
=
= −25
=
=

 =2
22
4
4
⇒  0 () =  0 () + () · 1. Now (3) = 3 (3) = 3 · 4 = 12 and
49. () = ()
 0 (3) = 3 0 (3) + (3) = 3(−2) + 4 = −2. Thus, an equation of the tangent line to the graph of  at the point where  = 3
is  − 12 = −2( − 3), or  = −2 + 18.
50.  0 () = 2 ()
⇒  00 () = 2  0 () +  () · 2. Now  0 (2) = 22  (2) = 4(10) = 40, so
 00 (2) = 22 (40) + 10(4) = 200.
51. (a) From the graphs of  and , we obtain the following values:  (1) = 2 since the point (1 2) is on the graph of ; (1) = 3
since the point (1 3) is on the graph of ;  0 (1) =
1
3
since the slope of the line segment between (1 2) and (4 3) is
3−2
1
4
4−0
= ; 0 (1) = 1 since the slope of the line segment between (−2 0) and (2 4) is
= = 1.
4−1
3
2 − (−2)
4
Now () =  () (), so 0 (1) =  (1) 0 (1) + (1)  0 (1) = 2 · 1 + 3 ·
1
3
= 3.
(b) From the graphs of  and , we obtain the following values:  (4) = 3 since the point (4 3) is on the graph of ; (4) = 2
since the point (4 2) is on the graph of ;  0 (4) =  0 (1) =
segment between (3 1) and (5 3) is
() =
1
3
from the part (a);  0 (4) = 1 since the slope of the line
3−1
2
= = 1.
5−3
2
2 · 13 − 3 · 1
− 73
 ()
(4) 0 (4) − (4)0 (4)
7
, so  0 (4) =
=−
=
=
2
2
()
2
4
12
[(4)]
52. (a)  () =  () (), so  0 (2) =  (2) 0 (2) + (2)  0 (2) = 3 ·
1·
 ()
(7)  0 (7) −  (7) 0 (7)
(b) () =
, so 0 (7) =
=
()
[(7)]2
53. (a)  = ()
⇒
+ 2 · 0 = 32 
 
− 5 · − 23
10
43
1
=
= +
12
4
3
12
 0 = 0 () + () · 1 = 0 () + ()
(b)  =

()
⇒ 0 =
() · 1 − 0 ()
() − 0 ()
=
2
[()]
[()]2
(c)  =
()

⇒ 0 =
0 () − () · 1
0 () − ()
=
2
()
2
54. (a)  = 2  ()
1
4
2
4
⇒  0 = 2  0 () + ()(2)
(b)  =
 ()
2
⇒ 0 =
2  0 () −  ()(2)
 0 () − 2 ()
=
(2 )2
3
(c)  =
2
 ()
⇒ 0 =
 ()(2) − 2  0 ()
[ ()]2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.2 THE PRODUCT AND QUOTIENT RULES
(d)  =
1 + ()
√

¤
⇒
√
1
 [ 0 () +  ()] − [1 + ()] √
2

0
 =
√ 2

=
32  0 () + 12  () − 12 −12 − 12 12  () 212
() + 22  0 () − 1
· 12 =

2
232
55. If  =  () =
−

( + 1)(1) − (1)
1
, then  0 () =
=
. When  = , the equation of the tangent line is
+1
( + 1)2
( + 1)2
1
1


=
=
( − ). This line passes through (1 2) when 2 −
(1 − ) ⇔
+1
( + 1)2
+1
( + 1)2
2( + 1)2 − ( + 1) = 1 − 
22 + 4 + 2 − 2 −  − 1 +  = 0 ⇔ 2 + 4 + 1 = 0.

√
√
−4 ± 42 − 4(1)(1)
−4 ± 12
=
= −2 ± 3,
The quadratic formula gives the solutions of this equation as  =
2(1)
2
⇔
so there are two such tangent lines. Since
√
√
√
√ 

−2 ± 3
−2 ± 3 −1 ∓ 3
√
√ ·
√
 −2 ± 3 =
=
−2 ± 3 + 1
−1 ± 3 −1 ∓ 3
√
√
√
√
2±2 3∓ 3−3
−1 ± 3
1∓ 3
=
=
=
,
1−3
−2
2

√ 
√
the lines touch the curve at  −2 + 3 1 −2 3 ≈ (−027 −037)

√
and  −2 − 3
56.  =
−1
+1
√ 
1+ 3
2
⇒ 0 =
≈ (−373 137).
( + 1)(1) − ( − 1)(1)
2
=
. If the tangent intersects
( + 1)2
( + 1)2
the curve when  = , then its slope is 2( + 1)2 . But if the tangent is parallel to
 − 2 = 2, that is,  = 12  − 1, then its slope is 12 . Thus,
2
1
=
( + 1)2
2
⇒
( + 1)2 = 4 ⇒  + 1 = ±2 ⇒  = 1 or −3. When  = 1,  = 0 and the
equation of the tangent is  − 0 = 12 ( − 1) or  = 12  − 12 . When  = −3,  = 2 and
the equation of the tangent is  − 2 = 12 ( + 3) or  = 12  + 72 .
57.  =


⇒
0 =
 0 −   0
. For () =  − 33 + 55 ,  0 () = 1 − 92 + 254 ,
2
and for () = 1 + 33 + 66 + 99 , 0 () = 92 + 365 + 818 .
Thus, 0 (0) =
(0) 0 (0) −  (0) 0 (0)
1·1−0·0
1
=
= = 1.
[(0)]2
12
1
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°
201
202
¤
CHAPTER 3 DIFFERENTIATION RULES
58.  =


⇒
 0 −  0
. For  () = 1 +  + 2 +  ,  0 () = 1 + 2 +  +  ,
2
0 =
and for () = 1 −  + 2 −  ,  0 () = −1 + 2 −  −  .
Thus, 0 (0) =
(0) 0 (0) −  (0) 0 (0)
1 · 2 − 1 · (−2)
4
=
= = 4.
[(0)]2
12
1
59. If  () denotes the population at time  and () denotes the average annual income, then  () =  () () is the total
personal income. The rate at which  () is rising is given by  0 () =  () 0 () + ()  0 () ⇒
 0 (2015) =  (2015) 0 (2015) + (2015)  0 (2015) = (107,350) ($2250year) + ($60,220) (1960year)
= $241,537,500year + $118,031,200year = $359,568,700year
So the total personal income in Boulder was rising by about $360 million per year in 2015.
The term  () 0 () ≈ $242 million represents the portion of the rate of change of total income due to the existing
population’s increasing income. The term ()  0 () ≈ $118 million represents the portion of the rate of change of total
income due to increasing population.
60. (a)  (20) = 10,000 means that when the price of the fabric is $20yard, 10,000 yards will be sold.
 0 (20) = −350 means that as the price of the fabric increases past $20yard, the amount of fabric which will be sold is
decreasing at a rate of 350 yards per (dollar per yard).
(b) () = () ⇒ 0 () =  0 () +  () · 1 ⇒ 0 (20) = 20 0 (20) +  (20) · 1 = 20(−350) + 10,000 = 3000.
This means that as the price of the fabric increases past $20yard, the total revenue is increasing at $3000($yard). Note
that the Product Rule indicates that we will lose $7000($yard) due to selling less fabric, but this loss is more than made
up for by the additional revenue due to the increase in price.
61.  =
014[S]
0015 + [S]

(0015 + [S])(014) − (014[S])(1)
00021
=
=
.
[S]
(0015 + [S])2
(0015 + [S])2
⇒
[S] represents the rate of change of the rate of an enzymatic reaction with respect to the concentration of a substrate S.
62. () = () ()
⇒  0 () = ()  0 () + ()  0 (), so
 0 (4) = (4)  0 (4) + (4)  0 (4) = 820(014) + 12(50) = 1748 gweek.
63. (a) ( )0 = [()]0 = ( )0  + ( )0 = ( 0  +  0 ) + ( )0 =  0  +  0  +  0
(b) Putting  =  =  in part (a), we have
(c)

[ ()]3 = (  )0 =  0   +  0  +    0 = 3   0 = 3[()]2  0 ().

  3
 3
( ) =
( ) = 3( )2  = 32  = 33


64. (a) We use the Product Rule repeatedly:  =  
⇒
 0 =  0  +  0
⇒
 = (  +   ) + (  +   ) =   + 2  +   .
00
00
0 0
0 0
00
00
0 0
00
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°
SECTION 3.2 THE PRODUCT AND QUOTIENT RULES
(b)  000 =  000  +  00 0 + 2 ( 00  0 +  0 00 ) +  0  00 +  000 =  000  + 3 00  0 + 3 0 00 +  000

(4)
=
(4)
000 0
000 0
00 00
00 00
0 000
0 000
 +   + 3 (  +   ) + 3 (  +   ) +  
+ 
(4)
¤
⇒
=  (4)  + 4 000 0 + 6 00  00 + 4 0  000 +   (4)
(c) By analogy with the Binomial Theorem, we make the guess:
 
 
 (−2) 00
 (−) ()
 () =  ()  +  (−1)  0 +
 +··· +
 + · · · +  0  (−1) +   () ,


2

 
( − 1)( − 2) · · · ( −  + 1)

!
where
=
.
=
! ( − )!
!

65. For  () = 2  ,  0 () = 2  +  (2) =  (2 + 2). Similarly, we have
 00 () =  (2 + 4 + 2)
 000 () =  (2 + 6 + 6)
 (4) () =  (2 + 8 + 12)
 (5) () =  (2 + 10 + 20)
It appears that the coefficient of  in the quadratic term increases by 2 with each differentiation. The pattern for the
constant terms seems to be 0 = 1 · 0, 2 = 2 · 1, 6 = 3 · 2, 12 = 4 · 3, 20 = 5 · 4. So a reasonable guess is that
 () () =  [2 + 2 + ( − 1)].
Proof: Let  be the statement that  () () =  [2 + 2 + ( − 1)].
1. 1 is true because  0 () =  (2 + 2).
2. Assume that  is true; that is,  () () =  [2 + 2 + ( − 1)]. Then
  () 
 () =  (2 + 2) + [2 + 2 + ( − 1)]
 (+1) () =

=  [2 + (2 + 2) + (2 + )] =  [2 + 2( + 1) + ( + 1)]
This shows that +1 is true.
3. Therefore, by mathematical induction,  is true for all ; that is,  () () =  [2 + 2 + ( − 1)] for every
positive integer .

66. (a)


1
()

(b)



1
23 − 62 + 5
(c)


(− ) =


=


(1) − 1 ·
[()]


2
[()]
() ·


1

=−

[Quotient Rule] =
() · 0 − 1 · 0 ()
0 − 0 ()
 0 ()
=
=−
2
2
[()]
[()]
[()]2
(23 − 62 + 5)0
62 − 12
=−
3
2
2
(2 − 6 + 5)
(23 − 62 + 5)2
=−
( )0
( )2
[by the Reciprocal Rule] = −
−1
= −−1−2 = −−−1
2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
203
204
¤
CHAPTER 3 DIFFERENTIATION RULES
3.3 Derivatives of Trigonometric Functions
1.  () = 3 sin  − 2 cos 
⇒  0 () = 3(cos ) − 2(− sin ) = 3 cos  + 2 sin 
⇒  0 () = sec2  − 4(cos ) = sec2  − 4 cos 
2.  () = tan  − 4 sin 
⇒  0 = 2 + (− csc2 ) = 2 − csc2 
3.  = 2 + cot 
⇒  0 = 2(sec  tan ) − (− csc  cot ) = 2 sec  tan  + csc  cot 
4.  = 2 sec  − csc 
PR
⇒ 0 () = 2 (cos ) + (sin )(2) = ( cos  + 2 sin )
5. () = 2 sin 
6. () = 3 + 2 cos 
⇒  0 () = 3 + 2 (− sin ) + (cos )(2) = 3 − 2 sin  + 2 cos 
⇒  0 = sec  (sec2 ) + tan  (sec  tan ) = sec  (sec2  + tan2 ). Using the identity
7.  = sec  tan 
1 + tan2  = sec2 , we can write alternative forms of the answer as sec  (1 + 2 tan2 ) or sec  (2 sec2  − 1).
⇒  0 = sin (− sin ) + cos (cos ) = cos2  − sin2 
8.  = sin  cos 
PR
⇒  0 () = ( − cos )(cos ) + (sin )(1 + sin ) =  cos  − cos2  + sin  + sin2 
9.  () = ( − cos ) sin 
10. () =  (tan  − )
[or cos 2]
0 () =  (sec2  − 1) + (tan  − ) =  (sec2  − 1 + tan  − )
⇒
11. () = cos2  = cos  · cos 
PR
⇒  0 () = cos  (− sin ) + cos  (− sin ) = −2 sin  cos . Using the identity
sin 2 = 2 sin  cos , we can write an alternative form of the answer as − sin 2.
12.  () =  sin  + cos  ⇒  0 () =  (cos ) + sin  ·  + (− sin ) =  (cos  + sin ) − sin 
sin 
1 + cos 
13.  () =
 0 () =
14.  =
0 =
15.  =
⇒
(1 + cos ) cos  − (sin )(− sin )
cos  + cos2  + sin2 
cos  + 1
1
=
=
=
2
(1 + cos )
(1 + cos )2
(1 + cos )2
1 + cos 
cos 
1 − sin 
⇒

2 − tan 
⇒ 0 =
(1 − sin )(− sin ) − cos (− cos )
− sin  + sin2  + cos2 
− sin  + 1
1
=
=
=
(1 − sin )2
(1 − sin )2
(1 − sin )2
1 − sin 
cot 

16.  () =
17.  () =
⇒
1 + sec 
1 − sec 
 0 () =
=
(2 − tan )(1) − (− sec2 )
2 − tan  +  sec2 
=
2
(2 − tan )
(2 − tan )2
 0 () =
 (− csc2 ) − (cot )
 (− csc2  − cot )
csc2  + cot 
=
=−

2

2
( )
( )

QR
⇒
(1 − sec )(sec  tan ) − (1 + sec )(− sec  tan )
(1 − sec )2
sec  tan  − sec2  tan  + sec  tan  + sec2  tan 
2 sec  tan 
=
(1 − sec )2
(1 − sec )2
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°
SECTION 3.3 DERIVATIVES OF TRIGONOMETRIC FUNCTIONS
18.  =
sin 
1 + tan 
¤
⇒
sin 
cos  + sin  −
2
(1 + tan ) cos  − (sin ) sec2 
cos  + sin  − tan  sec 
cos
 =
=
=
(1 + tan )2
(1 + tan )2
(1 + tan )2
0
19.  =
0 =
 sin 
1+
⇒
(1 + )( cos  + sin ) −  sin (1)
 cos  + sin  + 2 cos  +  sin  −  sin 
(2 + ) cos  + sin 
=
=
(1 + )2
(1 + )2
(1 + )2
20. () =
0 () =
=

sec  + tan 
QR
⇒
(sec  + tan )(1) − (sec  tan  + sec2 )
(sec  + tan )(1) −  sec (tan  + sec )
=
(sec  + tan )2
(sec  + tan )2
(1 −  sec )(sec  + tan )
1 −  sec 
=
(sec  + tan )2
sec  + tan 
21. Using Exercise 3.2.63(a),  () =  cos  sin 
⇒
 0 () = 1 cos  sin  + (− sin ) sin  +  cos (cos ) = cos  sin  −  sin2  +  cos2 
= sin  cos  + (cos2  − sin2 ) =
22. Using Exercise 3.2.63(a),  () =  cot 
1
2
sin 2 +  cos 2
[using double­angle formulas]
⇒
 0 () = 1 cot  +  cot  +  (− csc2 ) =  (cot  +  cot  −  csc2 )
23.


(csc ) =



1
sin 

=
cos 
− cos 
1
(sin )(0) − 1(cos )
·
= − csc  cot 
=
=−
sin  sin 
sin2 
sin2 
24.


(sec ) =



1
cos 

=
(cos )(0) − 1(− sin )
sin 
1
sin 
=
=
·
= sec  tan 
cos2 
cos2 
cos  cos 
25.
  cos   (sin )(− sin ) − (cos )(cos )

sin2  + cos2 
1
(cot ) =
=
=−
= − 2 = − csc2 
2

 sin 
sin 
sin2 
sin 
26.  () = cos 
⇒
( + ) −  ()
cos ( + ) − cos 
cos  cos  − sin  sin  − cos 
= lim
= lim
→0
→0





sin 
cos  − 1
sin 
cos  − 1
− sin 
− sin  lim
= lim cos 
= cos  lim
→0
→0
→0




 0 () = lim
→0
= (cos )(0) − (sin )(1) = − sin 
27.  = sin  + cos 
⇒  0 = cos  − sin , so  0 (0) = cos 0 − sin 0 = 1 − 0 = 1. An equation of the tangent line to the
curve  = sin  + cos  at the point (0 1) is  − 1 = 1( − 0) or  =  + 1.
28.  =  + sin 
⇒  0 = 1 + cos , so  0 () = 1 + cos  = 1 + (−1) = 0. An equation of the tangent line to the curve
 =  + sin  at the point ( ) is  −  = 0( − ) or  = .
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°
205
206
¤
CHAPTER 3 DIFFERENTIATION RULES
29.  =  cos  + sin 
⇒  0 =  (− sin ) + (cos )( ) + cos  =  (cos  − sin ) + cos , so
 0 (0) = 0 (cos 0 − sin 0) + cos 0 = 1(1 − 0) + 1 = 2. An equation of the tangent line to the curve  =  cos  + sin  at
the point (0 1) is  − 1 = 2( − 0) or  = 2 + 1.
30.  =
1 + sin 
cos 
QR
⇒ 0 =
cos (cos ) − (1 + sin )(− sin )
cos2  + sin  + sin2 
=
2
cos 
cos2 
Using the identity cos2  + sin2  = 1, we can write  0 =
 0 () =
1 + sin 
.
cos2 
1+0
1 + sin 
1 + sin 
=
at the point ( −1) is
= 1. An equation of the tangent line to the curve  =
cos2 
(−1)2
cos 
 − (−1) = 1( − ) or  =  −  − 1.


⇒  0 = 2( cos  + sin  · 1). At 2   ,


 0 = 2 2 cos 2 + sin 2 = 2(0 + 1) = 2, and an equation of the


tangent line is  −  = 2  − 2 , or  = 2.
31. (a)  = 2 sin 


⇒  0 = 3 − 6 sin . At 3   + 3 ,
√
√
 0 = 3 − 6 sin 3 = 3 − 6 23 = 3 − 3 3, and an equation of the
√ 


tangent line is  − ( + 3) = 3 − 3 3  − 3 , or
√ 
√

 = 3 − 3 3  + 3 +  3.
32. (a)  = 3 + 6 cos 
33. (a)  () = sec  − 
(b)
(b)
⇒  0 () = sec  tan  − 1
(b)
Note that  0 = 0 where  has a minimum. Also note that  0 is negative
when  is decreasing and  0 is positive when  is increasing.
34. (a)  () =  cos 
⇒  0 () =  (− sin ) + (cos )  =  (cos  − sin )
⇒
 00 () =  (− sin  − cos ) + (cos  − sin )  =  (− sin  − cos  + cos  − sin ) = −2 sin 
(b)
Note that  0 = 0 where  has a minimum and  00 = 0 where  0 has a
minimum. Also note that  0 is negative when  is decreasing and  00 is
negative when  0 is decreasing.
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°
SECTION 3.3 DERIVATIVES OF TRIGONOMETRIC FUNCTIONS
35. () =
sin 

QR
⇒ 0 () =
=
=
207
(cos ) − (sin )(1)
 cos  − sin 
=
2

2
Using the Quotient Rule and 0 () =
00 () =
¤
 cos  − sin 
, we get
2
2 {[(− sin ) + (cos )(1)] − cos } − ( cos  − sin )(2)
( 2)2
−3 sin  + 2 cos  − 2 cos  − 22 cos  + 2 sin 
(−2 sin  − 2 cos  + 2 sin )
=
4

 · 3
−2 sin  − 2 cos  + 2 sin 
3
⇒  0 () = sec  tan  ⇒  00 () = (sec ) sec2  + (tan ) sec  tan  = sec3  + sec  tan2 , so
√
√
√
  √ 3 √
 00 4 =
2 + 2(1)2 = 2 2 + 2 = 3 2.
36.  () = sec 
37. (a)  () =
 0 () =
tan  − 1
sec 
⇒
sec (sec2 ) − (tan  − 1)(sec  tan )
sec (sec2  − tan2  + tan )
1 + tan 
=
=
(sec )2
sec2 
sec 
sin 
sin  − cos 
−1
tan  − 1
cos

cos 
=
=
= sin  − cos  ⇒  0 () = cos  − (− sin ) = cos  + sin 
(b)  () =
1
1
sec 
cos 
cos 
(c) From part (a),  0 () =
38. (a) () =  () sin 
1
tan 
1 + tan 
=
+
= cos  + sin , which is the expression for  0 () in part (b).
sec 
sec 
sec 
⇒ 0 () =  () cos  + sin  ·  0 (), so
 0 ( 3 ) = ( 3 ) cos 3 + sin 3 ·  0 ( 3 ) = 4 ·
1
2
+
√
3
2
· (−2) = 2 −
√
3
 () · (− sin ) − cos  ·  0 ()
, so
[ ()]2
 √   
√
√
0 



4 − 23 − 12 (−2)

(
)
·
(−
sin
)
−
cos
·

(
)
1−2 3
−2 3 + 1
3
3
0 ( 3 ) =
=
=
=
 3  2 3
42
16
16

(b) () =
cos 
 ()
⇒ 0 () =
3
39.  () =  + 2 sin  has a horizontal tangent when  0 () = 0
=
2
3
+ 2 or
4
3
+ 2, where  is an integer. Note that
1 + 2 cos  = 0 ⇔ cos  = − 12
⇔
4
3
and
2
3
⇔
are ± 3 units from . This allows us to write the
solutions in the more compact equivalent form (2 + 1) ± 3 ,  an integer.
40.  () =  cos  has a horizontal tangent when  0 () = 0.  0 () =  (− sin ) + (cos ) =  (cos  − sin ).
 0 () = 0
⇔
41. (a) () = 8 sin 
cos  − sin  = 0
⇔
cos  = sin 
⇔
tan  = 1
⇔
=

4
+ ,  an integer.
⇒ () = 0 () = 8 cos  ⇒ () = 00 () = −8 sin 
(b) The mass at time  =
2
3
√ 
√
 
 
 
2
3
=
8
sin
= 8 cos 2
= 4 3, velocity  2
has position  2
=
8
= 8 − 12 = −4,
3
3
2
3
3
√ 
√
 
 
2
3
= −4 3. Since  2
=
−8
sin
 0, the particle is moving to the left.
=
−8
and acceleration  2
3
3
2
3
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°
208
¤
CHAPTER 3 DIFFERENTIATION RULES
42. (a) () = 2 cos  + 3 sin 
(b)
⇒ () = −2 sin  + 3 cos  ⇒
() = −2 cos  − 3 sin 
(c)  = 0 ⇒ 2 ≈ 255.
So the mass passes through the equilibrium
position for the first time when  ≈ 255 s.
(d)  = 0 ⇒ 1 ≈ 098, (1 ) ≈ 361 cm.
So the mass travels
a maximum of about 36 cm (upward and downward) from its equilibrium position.
(e) The speed || is greatest when  = 0, that is, when  = 2 + ,  a positive integer.
From the diagram we can see that sin  = 10 ⇔  = 10 sin . We want to find the rate
43.
of change of  with respect to , that is, . Taking the derivative of  = 10 sin , we get
 = 10(cos ). So when  =
44. (a)  =
(b)

 sin  + cos 
⇒
 
,
3 
 
= 10 cos 3 = 10 12 = 5 ftrad.

( sin  + cos )(0) −  ( cos  − sin )
 (sin  −  cos )
=
=

( sin  + cos )2
( sin  + cos )2

= 0 ⇔  (sin  −  cos ) = 0 ⇔ sin  =  cos 

From the graph of  =
(c)
⇔ tan  =  ⇔  = tan−1 
06(50)
for 0 ≤  ≤ 1, we see that
06 sin  + cos 

= 0 ⇒  ≈ 054. Checking this with part (b) and  = 06, we

calculate  = tan−1 06 ≈ 054. So the value from the graph is consistent
with the value in part (b).
45. lim
→0
sin 5
5
= lim
→0 3
3

sin 5
5

=
5
sin 5
sin 
5
lim
= lim
3 →0 5
3 →0 

1
1
sin 
sin 
sin 

= lim
·
· = lim
· lim
·
→0 sin 
→0
→0
→0 sin 

sin  


46. lim
= 1 · lim
→0
47. lim
→0

where  = 5,
using Equation 5


where  = ,
using Equation 5
=
5
5
·1=
3
3

1
1
1
1
· =1·1· =
sin  




sin 3
sin 3
sin 3

sin 
1
· lim 3
= lim
·
· 3 = lim
· lim
· lim 3 = lim
· lim
→0
→0
→0 sin  →0
→0 sin  →0
→0
sin 
3
sin 
3


=1·1·3=3
[ = 3]
sin2 3
sin 3 sin 3
sin 3
sin 3
= lim
·
· 3 · 3 ·  = lim
· lim
· lim 3 · 3 · 
→0
→0
→0
→0
→0

3
3
3
3
sin 
sin 
· lim
· lim 9
= lim
[ = 3]
→0
→0
→0


=1·1·0 =0
48. lim
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.3 DERIVATIVES OF TRIGONOMETRIC FUNCTIONS
49. lim
→0
sin  − sin  cos 
sin  (1 − cos )
sin 
1 − cos 
· lim
= lim
= lim
→0
→0
→0
2
2


=1·0
lim
50.
→0
[by Equations 5 and 6]
=0
1 − sec 
1 − (1 cos ) cos 
cos  − 1
cos  − 1
1
= lim
·
= lim
= lim
· lim
→0
→0
→0 2 cos 
2
2
cos  →0 2 cos 

1
=0·
[using Equation 6]
=0
2
sin 2
tan 2
cos
2 = lim sin 2 = lim sin 2 · 2
= lim
51. lim
→0
→0
→0  cos 2
→0


2
cos 2
sin 2
2
sin 
2
= lim
· lim
= lim
· lim
→0
→0 cos 2
→0
→0 cos 2
2

2
=1· =2
1
[ = 2]
7
1
cos 7
sin 
sin 
sin 
= lim
= lim
· cos 7 ·
·
= lim sin  ·
→0
→0
tan 7 →0 sin 7
sin 7

sin 7 7
cos 7
sin 
1
1
1
1
· lim cos 7 · lim
[ = 7]
= lim
· = 1 · 1 · lim
·
→0 sin 
→0
→0
→0 sin 7

7
7

7
1
1
= 1·1·1· =
7
7




sin 3
3
3
3
sin 3
sin 3
3
=
lim
·
=
lim
·
lim
=
1
·
=−
53. lim
→0 53 − 4
→0
→0
→0 52 − 4
3
52 − 4
3
−4
4
52. lim
→0
54. lim
→0


3 sin 3
5 sin 5
3 sin 3 5 sin 5
·
= lim
· lim
→0
→0
3
5
3
5
sin 3
sin 5
· 5 lim
= 3(1) · 5(1) = 15
= 3 lim
→0
→0
3
5
sin 3 sin 5
= lim
→0
2
55. Divide numerator and denominator by .
sin 
= lim
lim
→0  + tan 
→0
sin 
sin 
lim
1
1
→0


=
=
=
1
sin 
sin 
1
1+1·1
2
·
lim
1+
1 + lim
→0

cos 
 →0 cos 
56. lim csc  sin(sin ) = lim
→0
57. lim
→0
[sin  also works.]
→0
sin(sin )
sin 
= lim
→0
sin 

[As  → 0,  = sin  → 0.]
=1
cos  − 1
cos  − 1 cos  + 1
cos2  − 1
− sin2 
= lim 2
= lim
·
= lim 2
2
2
→0
→0
→0
cos  + 1
2
2
2 (cos  + 1)
2 (cos  + 1)
=−
1
1
sin  sin 
sin 
sin 
1
1
lim
·
·
= − lim
· lim
· lim
→0
→0 cos  + 1
2 →0 

cos  + 1
2 →0 

1
1
1
=−
=− ·1·1·
2
1+1
4
58. lim
→0


sin(2 )
sin(2 )
sin(2 )
sin 
= lim  ·
= lim  · lim
= 0 · lim
→0
→0
→0

·
2

→0+


where  = 2
=0·1=0
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
¤
209
210
59.
¤
CHAPTER 3 DIFFERENTIATION RULES
lim
→4
60. lim
→1
61.
1 − tan 
= lim
sin  − cos  →4


sin 
1−
· cos 
√
cos 
−1
cos  − sin 
−1
= lim
= lim
= √ =− 2
(sin  − cos ) · cos  →4 (sin  − cos ) cos  →4 cos 
1 2
1
1
sin( − 1)
sin( − 1)
1
sin( − 1)
= lim
= lim
lim
= ·1=
2 +  − 2 →1 ( + 2)( − 1) →1  + 2 →1  − 1
3
3

(sin ) = cos  ⇒

2
(sin ) = − sin  ⇒
2
3
(sin ) = − cos  ⇒
3
The derivatives of sin  occur in a cycle of four. Since 99 = 4(24) + 3, we have
4
(sin ) = sin .
4
3
99
(sin
)
=
(sin ) = − cos .
99
3
62. Let () =  sin  and () = sin , so  () = (). Then  0 () = () + 0 (),
 00 () = 0 () + 0 () + 00 () = 20 () + 00 (),
 000 () = 200 () + 00 () + 000 () = 300 () + 000 () · · ·   () () = (−1) () + () ().
Since 34 = 4(8) + 2, we have (34) () = (2) () =
Thus,
2
(sin ) = − sin  and (35) () = − cos .
2
35
( sin ) = 35(34) () + (35) () = −35 sin  −  cos .
35
63.  =  sin  +  cos 
⇒  0 =  cos  −  sin  ⇒  00 = − sin  −  cos . Substituting these
expressions for ,  0 , and  00 into the given differential equation  00 +  0 − 2 = sin  gives us
(− sin  −  cos ) + ( cos  −  sin ) − 2( sin  +  cos ) = sin  ⇔
−3 sin  −  sin  +  cos  − 3 cos  = sin  ⇔ (−3 − ) sin  + ( − 3) cos  = 1 sin , so we must have
−3 −  = 1 and  − 3 = 0 (since 0 is the coefficient of cos  on the right side). Solving for  and , we add the first
1
3
equation to three times the second to get  = − 10
and  = − 10
.
64. (a) Let  =
1
1
1
sin 
. Then as  → ∞,  → 0+ , and lim  sin = lim
sin  = lim
= 1.
→∞
→0

 →0+ 

(b) Since −1 ≤ sin (1) ≤ 1, we have (as illustrated in the figure)
− || ≤  sin (1) ≤ ||. We know that lim (||) = 0 and
→0
lim (− ||) = 0; so by the Squeeze Theorem, lim  sin (1) = 0.
→0
→0
(c)
65. (a)
 sin 

tan  =

 cos 
⇒ sec2  =
cos2  + sin2 
cos  cos  − sin  (− sin )
=
.
cos2 
cos2 
So sec2  =
1
.
cos2 
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.3 DERIVATIVES OF TRIGONOMETRIC FUNCTIONS
(b)
 1

sec  =

 cos 
(c)
 1 + cot 

(sin  + cos ) =

 csc 
cos  − sin  =
=
⇒ sec  tan  =
(cos )(0) − 1(− sin )
.
cos2 
So sec  tan  =
¤
211
sin 
.
cos2 
⇒
csc  (− csc2 ) − (1 + cot )(− csc  cot )
csc  [− csc2  + (1 + cot ) cot ]
=
csc2 
csc2 
− csc2  + cot2  + cot 
−1 + cot 
=
csc 
csc 
So cos  − sin  =
cot  − 1
.
csc 
66. We get the following formulas for  and  in terms of :
sin


=
2
10
⇒
 = 10 sin

2
and cos


=
2
10
⇒
 = 10 cos

2
Now () = 12 2 and () = 12 (2) = . So
lim
→0+
1
2
()

10 sin(2)
= lim 2
= 12  lim
= 12  lim
()
→0+ 
→0+ 
→0+ 10 cos(2)
= 12  lim tan(2) = 0
→0+
67. By the definition of radian measure,  = , where  is the radius of the circle. By drawing the bisector of the angle , we can
see that sin
2

=
2

2 · (2)
2



⇒  = 2 sin . So lim
= lim
= lim
= lim
= 1.
→0 sin(2)
2
→0+ 
→0+ 2 sin(2)
→0+ 2 sin(2)
[This is just the reciprocal of the limit lim
→0
sin 

= 1 combined with the fact that as  → 0,

2
→ 0 also]

has a jump discontinuity at  = 0.
It appears that  () = √
1 − cos 2
68. (a)




= 
(b) Using the identity cos 2 = 1 − sin2 , we have √
= √
.
= √
1 − cos 2
2 |sin |
1 − (1 − 2 sin2 )
2 sin2 



1
= lim √
= √ lim
lim √
1 − cos 2 →0− 2 |sin |
2 →0− −(sin )
√
1 1
1
1
2
= −√ · = −
= − √ lim
2
2 →0− sin 
2 1
√
Evaluating lim  () is similar, but | sin | = + sin , so we get 12 2. These values appear to be reasonable values for
Thus,
→0−
→0+
the graph, so they confirm our answer to part (a).
Another method: Multiply numerator and denominator by
√
1 + cos 2.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
212
¤
CHAPTER 3 DIFFERENTIATION RULES
3.4 The Chain Rule
1. Let  = () = 5 − 4 and  = () = 3 . Then
2. Let  = () = 3 + 2 and  =  () =
 

=
= (32 )(−43 ) = 3(5 − 4 )2 (−43 ) = −123 (5 − 4 )2 .

 
√
 
1

1
32
=
= √ · 32 = √
· 32 = √
.
. Then

 
2 3 + 2
2 3 + 2
2 
3. Let  = () = cos  and  =  () = sin . Then
 

=
= (cos )(− sin ) = (cos(cos ))(− sin ) = − sin  cos(cos ).

 
4. Let  = () = 2 and  =  () = tan . Then
 

=
= (sec2 )(2) = (sec2 (2 ))(2) = 2 sec2 (2 ).

 
√


√
√
 
 

1



1 −12
√
√
=
.
= ·
=
= ( ) 2 
5. Let  = () =  and  =  () =  . Then

 
2 
2 
√
3
 = 13 . Then




 
1 −23

1



=
=

.
( ) = 
( ) =
3
3

2

 
3
3 ( + 1)
3 ( + 1)2
6. Let  = () =  + 1 and  =  () =
CR
Note: The notation ⇒ indicates the use of the Chain Rule.
7.  () = (23 − 52 + 4)5
CR
⇒
 0 () = 5(23 − 52 + 4)4 ·

(23 − 52 + 4) = 5(23 − 52 + 4)4 (62 − 10)

= 5(23 − 52 + 4)4 · 2(3 − 5) = 10(23 − 52 + 4)4 (3 − 5)
8.  () = (5 + 32 − )50
CR
⇒
 0 () = 50(5 + 32 − )49 ·
9.  () =
 5
( + 32 − ) = 50(5 + 32 − )49 (54 + 6 − 1)

√
5 + 1 = (5 + 1)12
CR
⇒  0 () = 12 (5 + 1)−12 ·
1
= (2 − 1)−13
2 − 1
10.  () = √
3
11. () =
12.  () =
1
= (2 + 1)−2
(2 + 1)2

1
2 + 1
4
13.  () = cos(2 )
CR
CR
1
−2
⇒  0 () = − (2 − 1)−43 (2) =
3
3(2 − 1)43
CR
⇒  0 () = −2(2 + 1)−3 ·
= [(2 + 1)−1 ]4 = (2 + 1)−4
 0 () = −4(2 + 1)−5 ·

5
(5 + 1) = 12 (5 + 1)−12 (5) = √

2 5 + 1

4
(2 + 1) = −2(2 + 1)−3 (2) = −

(2 + 1)3
CR
⇒

8
(2 + 1) = −4(2 + 1)−5 (2) = −

(2 + 1)5
⇒  0 () = − sin(2 ) ·
 2
( ) = − sin(2 ) · (2) = −2 sin(2 )

c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.4 THE CHAIN RULE
CR
CR
2 −
213
⇒  0 () = 2 (cos )1 (− sin ) = −2 sin  cos  = − sin 2
14. () = cos2  = (cos )2
15. () = 
¤
⇒  0 () = 
2 −
·
2
 2
( − ) =  − (2 − 1)

√
16. Using Formula 5 and the Chain Rule,  = 5

0
√
⇒  =5
17. Using the Product Rule and the Chain Rule,  = 2 −3
√

√
 √ 
1
5  ln 5
√ .
ln 5 ·
 = 5  ln 5 · √ =

2 
2 
⇒
 0 = 2 −3 (−3) + −3 (2) = −3 (−32 + 2) = −3 (2 − 3).
18. Using the Product Rule and the Chain Rule,  () =  sin 
⇒  0 () =  (cos ) ·  + (sin ) ·  =  ( cos  +  sin )
19.  () =  sin 
20. () =
⇒  0 () = (cos ) ·  + (sin ) · 1 =  cos  + sin .
√
2
 ·  +1 ⇒
√

2
2
2
2
  2
 √  √
1
 + 1 +  +1 ·
 ·  +1 ·
 =  ·  +1 · 2 +  +1 · √


2 



 2
√
4 + 1
1
 2 +1
 2 +1
√
or 
=
2  + √
2 
2 
0 () =
21.  () = (4 + 5)3 (2 − 2 + 5)4
⇒
 0 () = (4 + 5)3 · 4(2 − 2 + 5)3 (2 − 2) + (2 − 2 + 5)4 · 3(4 + 5)2 · 4


= 4(4 + 5)2 (2 − 2 + 5)3 (4 + 5) (2 − 2) + (2 − 2 + 5) · 3
= 4(4 + 5)2 (2 − 2 + 5)3 (82 + 2 − 10 + 32 − 6 + 15)
= 4(4 + 5)2 (2 − 2 + 5)3 (112 − 4 + 5)
√
22. () = (1 − 4)2  2 + 1
⇒


√
√
1
(1 − 4)
· 2 +  2 + 1 · 2(1 − 4)1 (−4) = 2(1 − 4) √
− 4 2 + 1
0 () = (1 − 4)2 · √
2 2 + 1
2 2 + 1




8( 2 + 1)
 − 4 2 − 8 2 − 8
(1 − 4)
√
− √
= 2(1 − 4)
= 2(1 − 4) √
2 2 + 1
2 2 + 1
2 2 + 1




2
2
−12 +  − 8
12 −  + 8
√
√
= (1 − 4)
or (4 − 1)
2 + 1
2 + 1
23.  =


=
+1
1
2

+1
0 =
=
24.  =



+1
−12
12



⇒

+1

=
−12
( + 1)(1) − (1)
1
2 ( + 1)−12
( + 1)2
1 ( + 1)12
1
1
= √
2
( + 1)2
12
2 ( + 1)32

5
1
+



4



4 
1

1
1
1
⇒ 0 = 5  +
1− 2 .
+
=5 +
 



Another form of the answer is
5(2 + 1)4 (2 − 1)
.
6
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
214
¤
CHAPTER 3 DIFFERENTIATION RULES
⇒  0 = tan 
25.  = tan 

(tan ) = (sec2 )tan 

3
3
26. Using Formula 5 and the Chain Rule, () = 2

27. () =
3 − 1
3 + 1
8
⇒  0 () = 2 ln 2
3
 3
( ) = 3(ln 2)2 2 .

⇒
 3
7
7
 3
 − 1 (3 + 1)(32 ) − (3 − 1)(32 )
 3 − 1
 −1
=8 3
 () = 8 3
 +1
 3 + 1
( + 1)7
(3 + 1)2
0
(3 − 1)7 32 [(3 + 1) − (3 − 1)]
(3 − 1)7 32 (2)
482 (3 − 1)7
=8 3
=
3
7
3
2
7
3
2
( + 1)
( + 1)
( + 1) ( + 1)
(3 + 1)9
=8
28. () =

0 () =
=
1
2
1 + sin 
=
1 + cos 

1 + sin 
1 + cos 

1 + sin 
1 + cos 
−12
12
⇒
(1 + cos ) cos  − (1 + sin )(− sin )
(1 + cos )2
1 (1 + sin )−12 cos  + cos2  + sin  + sin2 
cos  + sin  + 1
= √
2 (1 + cos )−12
(1 + cos )2
2 1 + sin  (1 + cos )32
√
29. Using Formula 5 and the Chain Rule, () = 102
√

0 () = 102
31. () =
 0 () =
=
⇒
√
 (ln 10) 102

√
  √ 
√
2  = 102  ln 10 2 · 12 −12 =


ln 10
⇒  0 () = (−1)
30.  () = (−1)

(2 − 1)3
(2 + 1)5

.
(−1)
 
( − 1)(1) − (1)
= (−1)
=−
2
  − 1
( − 1)
( − 1)2
⇒
(2 + 1)5 · 3(2 − 1)2 (2) − (2 − 1)3 · 5(2 + 1)4 (2)
2(2 + 1)4 (2 − 1)2 [3(2 + 1) − 5(2 − 1)]
=
5
2
[(2 + 1) ]
(2 + 1)10
2(2 − 1)2 (62 + 3 − 52 + 5)
2(2 − 1)2 (2 + 3 + 5)
=
(2 + 1)6
(2 + 1)6
32. () = tan2 () = [tan()]2
 0 () = 2 [tan()]1
33.  () =  sin 2
⇒

tan() = 2 tan() sec2 () ·  = 2 tan() sec2 ()

⇒
 0 () =  sin 2 ( sin 2)0 =  sin 2 ( · 2 cos 2 + sin 2 · 1) =  sin 2 (2 cos 2 + sin 2)
2
3 + 1
34.  () = √
⇒




(3 + 1)−12 2(3 + 1) − 32 3
 12 3 + 2
(3 + 1)12 (2) − 2 · 12 (3 + 1)−12 (32 )
(3 + 4)
=
= 3
=
 () =
√
2
3
1
32
( + 1)
( + 1)
2(3 + 1)32
3 + 1
0
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°
SECTION 3.4 THE CHAIN RULE
35. Using Formula 5 and the Chain Rule, () = 4
0 () = 4 (ln 4)
 
 


= −1


⇒


4
= 4 (ln 4) −−2 = − (ln 4) 2 .

5
4 + 1
⇒
2 + 1
4 2
 4
5( 4 + 1)4 2[2 2 ( 2 + 1) − ( 4 + 1)]
( + 1)(4 3 ) − ( 4 + 1)(2)
 +1
=
 0 () = 5 2
 +1
( 2 + 1)2
( 2 + 1)4 ( 2 + 1)2
36.  () =

=
10( 4 + 1)4 ( 4 + 2 2 − 1)
( 2 + 1)6
37.  () = sin  cos(1 − 2 )
⇒


 0 () = sin  − sin(1 − 2 )(−2) + cos(1 − 2 ) · cos  = 2 sin  sin(1 − 2 ) + cos  cos(1 − 2 )
38. () = − cos(2 )
⇒ 0 () = − [− sin(2 )] · 2 + cos(2 ) · − (−1) = −− [2 sin(2 ) + cos(2 )]
√
√
√
1
 sec2 1 + 2
√
1 + 2 ⇒  0 () = sec2 1 + 2 · √
· 2 =
2 1 + 2
1 + 2
39.  () = tan
40. () = (1 + cos2 )3 ⇒ 0 () = 3(1 + cos2 )2 [2(cos )(− sin )] = −6 cos  sin (1 + cos2 )2
41.  = sin2 (2 + 1)
⇒  0 = 2 sin(2 + 1) · cos(2 + 1) · 2 = 4 sin(2 + 1) cos(2 + 1)
42.  = sin 2 + sin(2 )
⇒


sin 2 + cos(2 ) 2 = sin 2 (cos 2) · 2 + cos(2 ) 2 · 2 = 2 cos 2 sin 2 + 22 cos(2 )


  

43. () = sin
⇒
1 + 
  
   
  
(1 +  ) −  ( )
 (1 +  −  )




·
·
=
cos
=
cos
 0 () = cos
1 + 
(1 +  )2
1 + 
(1 +  )2
(1 +  )2
1 + 
 0 = sin 2
√
44.  () = 1 2 − 1
⇒




√
1
1
  −1 
1
1
= −−2 = − 2
 0 () = 1 · √
= −1 ;

· 2 + 2 − 1 · 1 · − 2




2 2 − 1
√


 3

2
2 −1

−

+
1


√
−
= 1 √
or 1
2
2 − 1
2 2 − 1
45.  () = tan(sec(cos ))
 0 () = sec2 (sec(cos ))
⇒


sec(cos ) = sec2 (sec(cos ))[sec(cos ) tan(cos )]
cos 


= − sec2 (sec(cos )) sec(cos ) tan(cos ) sin 
46.  =







√ −12 
√
√ −12
1 + 12  + 
1 + 12 −12
 +  +  ⇒  0 = 12  +  + 
2
47.  () = sin
(2 )
2
⇒  0 () = sin
(2 )
2
· 2 sin(2 ) · cos(2 ) · 2 = 4 sin(2 ) cos(2 )sin
(2 )
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°
¤
215
216
¤
CHAPTER 3 DIFFERENTIATION RULES
4
48.  = 23
⇒

34
0 = 2
49.  =
(ln 2)
4

4


4
 4
 
3 = 23 (ln 2)34 (ln 3)
4 = 23 (ln 2)34 (ln 3)4 (ln 4) = (ln 2)(ln 3)(ln 4)4 34 23



4
2
3cos( ) − 1
⇒


3
3
2
2
2
2
 0 = 4 3cos( ) − 1 · 3cos( ) ln 3 · (− sin(2 )) · 2 = −8(ln 3) sin(2 ) 3cos( ) 3cos( ) − 1
50.  = sin( + tan( + cos ))
51.  = cos
⇒  0 = cos( + tan( + cos )) · [1 + sec2 ( + cos ) · (1 − sin )]

sin(tan ) = cos(sin(tan ))12
⇒


(sin(tan ))12 = − sin(sin(tan ))12 · 12 (sin(tan ))−12 ·
(sin(tan ))




− sin sin(tan )
− sin sin(tan )



=
tan  =
· cos(tan ) ·
· cos(tan ) · sec2 () · 

2 sin(tan )
2 sin(tan )

− cos(tan ) sec2 () sin sin(tan )

=
2 sin(tan )
 0 = − sin(sin(tan ))12 ·
52.  = sin3 (cos(2 ))
⇒
 0 = 3 sin2 (cos(2 )) · cos(cos(2 )) · [− sin(2 ) · 2] = −6 sin(2 ) sin2 (cos(2 )) cos(cos(2 ))
53.  = cos(sin 3)
⇒  0 = − sin(sin 3) · (cos 3) · 3 = −3 cos 3 sin(sin 3) ⇒
 00 = −3 [(cos 3) cos(sin 3)(cos 3) · 3 + sin(sin 3)(− sin 3) · 3] = −9 cos2 (3) cos(sin 3) + 9(sin 3) sin(sin 3)

√ 2

2  1  3 1 + 
√
√
√
⇒ 0 = 3 1 + 
=
⇒
2 
2 


√ 1
√
√ 2
1
1
2 ·3·2 1+  · √ −3 1+  ·2· √
2

2

00
 =
 √ 2
2 

√ 3
54.  = 1 + 
 1

√  1
√ 
√
√
√
√
6  1+  · √ −3 1+2 + · √

 · √ = 6  + 6 − 3√− 6  − 3
=
4

4 
=
3( − 1)
3 − 3
√ or
432
4 
√
sin 
1
− sin 
(− sin ) = − √
. With  0 = √
, we get
cos  ⇒  0 = √
2 cos 
2 cos 
2 cos 


√
√
1
sin2 
√
(− sin )
2 cos  · (− cos ) − (− sin ) 2 · √
−2 cos  cos  − √
2 cos 
cos 
cos 
 00 =
·√
=
√
2
4
cos

cos 
(2 cos  )
55.  =
=
2 cos2  + sin2 
−2 cos  · cos  − sin2 
√
=−
4(cos )32
4 cos  cos 
Using the identity sin2  + cos2  = 1, the answer may be written as −
1 + cos2 
.
4(cos )32
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°
SECTION 3.4 THE CHAIN RULE
56.  = 

 00 = 
57.  = 2

¤
217

⇒  0 =  · ( )0 =  ·  ⇒
  0




· ( )0 +  · 
=  ·  +  ·  ·  =  ·  (1 +  ) or  + (1 +  )

⇒  0 = 2 ln 2. At (0 1),  0 = 20 ln 2 = ln 2, and an equation of the tangent line is  − 1 = (ln 2)( − 0)
or  = (ln 2) + 1.
58.  =
√
1 + 3 = (1 + 3 )12
⇒
32
3·4
 0 = 12 (1 + 3 )−12 · 32 = √
. At (2 3),  0 = √ = 2, and an equation of
2 1 + 3
2 9
the tangent line is  − 3 = 2( − 2), or  = 2 − 1.
59.  = sin(sin )
⇒  0 = cos(sin ) · cos . At ( 0),  0 = cos(sin ) · cos  = cos(0) · (−1) = 1(−1) = −1, and an
equation of the tangent line is  − 0 = −1( − ), or  = − + .
60.  = −
2
2
2
2
⇒  0 = − (−2) + − (1) = − (−22 + 1). At (0 0),  0 = 0 (1) = 1, and an equation of the
tangent line is  − 0 = 1( − 0) or  = .
61. (a)  =
2
1 + −
At (0 1),  0 =
⇒ 0 =
(1 + − )(0) − 2(−− )
2−
=
.
(1 + − )2
(1 + − )2
(b)
20
2(1)
2
1
=
= 2 = . So an equation of the
(1 + 0 )2
(1 + 1)2
2
2
tangent line is  − 1 = 12 ( − 0) or  = 12  + 1.

2 − 2
62. (a) For   0, || = , and  =  () = √
⇒
(b)
√
 
2 − 2 (1) −  12 (2 − 2 )−12 (−2) (2 − 2 )12
 () =
·
√
2
(2 − 2 )12
2 − 2
0
=
(2 − 2 ) + 2
2
=
(2 − 2 )32
(2 − 2 )32
So at (1 1), the slope of the tangent line is  0 (1) = 2 and its equation is  − 1 = 2( − 1) or  = 2 − 1.
63. (a)  () = 
√
2 − 2 = (2 − 2 )12
⇒


2 − 22
 0 () =  · 12 (2 − 2 )−12 (−2) + (2 − 2 )12 · 1 = (2 − 2 )−12 −2 + (2 − 2 ) = √
2 − 2
(b)
 0 = 0 when  has a horizontal tangent line,  0 is negative when  is
decreasing, and  0 is positive when  is increasing.
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°
218
¤
CHAPTER 3 DIFFERENTIATION RULES
64. (a)
From the graph of  , we see that there are 5 horizontal tangents, so there
must be 5 zeros on the graph of  0 . From the symmetry of the graph of  ,
we must have the graph of  0 as high at  = 0 as it is low at  = . The
intervals of increase and decrease as well as the signs of  0 are indicated in
the figure.
(b)  () = sin( + sin 2) ⇒
 0 () = cos( + sin 2) ·

( + sin 2) = cos( + sin 2)(1 + 2 cos 2)

65. For the tangent line to be horizontal,  0 () = 0.  () = 2 sin  + sin2 
⇒  0 () = 2 cos  + 2 sin  cos  = 0 ⇔
2 cos (1 + sin ) = 0 ⇔ cos  = 0 or sin  = −1, so  = 2 + 2 or 3
+ 2, where  is any integer. Now
2

 3 




 2 = 3 and  2 = −1, so the points on the curve with a horizontal tangent are 2 + 2 3 and 3
+ 2 −1 ,
2
where  is any integer.
66.  =


√
1
. The line 6 + 2 = 1 or  = −3 + 12 has slope −3, so the
1 + 2 ⇒  0 = 12 (1 + 2)−12 · 2 = √
1 + 2
tangent line perpendicular to it must have slope 13 . Thus,
2 = 8 ⇔  = 4. When  = 4,  =
67.  () =  (())
68. () =
1
1
= √
3
1 + 2
⇔
√
1 + 2 = 3 ⇒ 1 + 2 = 9 ⇔

1 + 2(4) = 3, so the point is (4 3).
⇒  0 () =  0 (()) ·  0 (), so  0 (5) =  0 ((5)) ·  0 (5) =  0 (−2) · 6 = 4 · 6 = 24.

4 + 3 () ⇒ 0 () =
1
(4
2
+ 3 ())−12 · 3 0 (), so
0 (1) = 12 (4 + 3 (1))−12 · 3 0 (1) = 12 (4 + 3 · 7)−12 · 3 · 4 =
69. (a) () =  (())
√6
25
= 65 .
⇒ 0 () =  0 (()) ·  0 (), so 0 (1) =  0 ((1)) ·  0 (1) =  0 (2) · 6 = 5 · 6 = 30.
(b) () = ( ()) ⇒  0 () =  0 ( ()) ·  0 (), so  0 (1) =  0 ( (1)) ·  0 (1) =  0 (3) · 4 = 9 · 4 = 36.
70. (a)  () =  ( ())
⇒  0 () =  0 ( ()) ·  0 (), so  0 (2) =  0 ( (2)) ·  0 (2) =  0 (1) · 5 = 4 · 5 = 20.
(b) () = (()) ⇒ 0 () = 0 (()) · 0 (), so 0 (3) =  0 ((3)) ·  0 (3) =  0 (2) · 9 = 7 · 9 = 63.
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°
SECTION 3.4 THE CHAIN RULE
¤
219
71. (a) From the graphs of  and , we obtain the following values: (1) = 4 since the point (1 4) is on the graph of ;
 0 (4) = − 14 since the slope of the line segment between (2 4) and (6 3) is
of the line segment between (0 5) and (3 2) is
1
3−4
= − ; and 0 (1) = −1 since the slope
6−2
4
2−5
= −1. Now () =  (()), so
3−0
 0 (1) =  0 ((1))  0 (1) =  0 (4)  0 (1) = − 14 (−1) = 14 .
(b) From the graphs of  and , we obtain the following values:  (1) = 2 since the point (1 2) is on the graph of ;
 0 (2) =  0 (1) = −1 [see part (a)]; and  0 (1) = 2 since the slope of the line segment between (0 0) and (2 4) is
4−0
= 2. Now () = ( ()), so  0 (1) =  0 ( (1)) 0 (1) = 0 (2) 0 (1) = −1(2) = −2.
2−0
(c) From part (a), we have (1) = 4 and  0 (1) = −1. From the graph of  we obtain  0 (4) =
the line segment between (3 2) and (7 4) is
1
2
since the slope of
1
4−2
= . Now () = (()), so
7−3
2
0 (1) =  0 ((1))  0 (1) = 0 (4)  0 (1) = 12 (−1) = − 12 .
72. (a) () =  (())
⇒ 0 () =  0 ( ()) 0 (). So 0 (2) =  0 ((2)) 0 (2) =  0 (1) 0 (2) ≈ (−1)(−1) = 1.
  2
 =  0 (2 )(2). So  0 (2) =  0 (2 2 )(2 · 2) = 4 0 (4) ≈ 4(2) = 8.

(b) () =  (2 ) ⇒  0 () =  0 (2 ) ·
73. The point (3 2) is on the graph of  , so  (3) = 2. The tangent line at (3 2) has slope
() =

() ⇒  0 () = 12 [ ()]−12 ·  0 () ⇒
−4
2
∆
=
=− .
∆
6
3
1
1√
2.
 0 (3) = 12 [ (3)]−12 ·  0 (3) = 12 (2)−12 (− 23 ) = − √ or −
6
3 2
74. (a)  () =  ( )
(b) () = [ ()]
75. (a)  () =  ( )
(b) () =  ()
⇒  0 () =  0 ( )

( ) =  0 ( )−1

⇒ 0 () =  [ ()]−1  0 ()
⇒  0 () =  0 ( )
⇒ 0 () =  ()
76. (a) () =  +  ()
 
( ) =  0 ( )


() =  ()  0 ()

⇒ 0 () =  ·  +  0 () ⇒ 0 (0) = 0 ·  +  0 (0) =  + 5.
 0 () =  +  0 () ⇒ 00 () =  ·  +  00 () ⇒  00 (0) = 2 0 +  00 (0) = 2 − 2.
(b) () =   () ⇒ 0 () =   0 () +  () · 
⇒ 0 (0) = 0  0 (0) +  (0) · 0 = 5 + 3.
An equation of the tangent line to the graph of  at the point (0 (0)) = (0  (0)) = (0 3) is
 − 3 = (5 + 3)( − 0) or  = (5 + 3) + 3.
77. () =  ((()))
⇒ 0 () =  0 ((())) ·  0 (()) · 0 (), so
0 (1) =  0 (((1))) ·  0 ((1)) · 0 (1) =  0 ((2)) · 0 (2) · 4 =  0 (3) · 5 · 4 = 6 · 5 · 4 = 120
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CHAPTER 3 DIFFERENTIATION RULES
⇒  0 () = 0 (2 ) 2 + (2 ) · 1 = 22  0 (2 ) + (2 ) ⇒
78.  () = (2 )
 00 () = 22  00 (2 ) 2 +  0 (2 ) 4 +  0 (2 ) 2 = 43 00 (2 ) + 40 (2 ) + 20 (2 ) = 60 (2 ) + 43 00 (2 )
79.  () =  (3 (4 ()))
⇒
 0 () =  0 (3 (4 ())) ·


(3 (4 ())) =  0 (3 (4 ())) · 3 0 (4()) ·
(4())


=  0 (3 (4 ())) · 3 0 (4()) · 4 0 (), so
 0 (0) =  0 (3 (4(0))) · 3 0 (4(0)) · 4 0 (0) =  0 (3 (4 · 0)) · 3 0 (4 · 0) · 4 · 2 =  0 (3 · 0) · 3 · 2 · 4 · 2 = 2 · 3 · 2 · 4 · 2 = 96.
80.  () =  ((()))
⇒
 0 () =  0 ((())) ·




((())) =  0 ((())) ·  ·  0 (()) ·
(()) +  (()) · 1


=  0 ((())) · [ 0 (()) · ( 0 () +  () · 1) +  (())] , so
 0 (1) =  0 (( (1))) · [ 0 ((1)) · ( 0 (1) + (1)) +  ((1))] =  0 ( (2)) · [ 0 (2) · (4 + 2) +  (2)]
=  0 (3) · [5 · 6 + 3] = 6 · 33 = 198.
81.  = 2 ( cos 3 +  sin 3)
⇒
 0 = 2 (−3 sin 3 + 3 cos 3) + ( cos 3 +  sin 3) · 22
= 2 (−3 sin 3 + 3 cos 3 + 2 cos 3 + 2 sin 3)
= 2 [(2 + 3) cos 3 + (2 − 3) sin 3] ⇒
 00 = 2 [−3(2 + 3) sin 3 + 3(2 − 3) cos 3] + [(2 + 3) cos 3 + (2 − 3) sin 3] · 22
= 2 {[−3(2 + 3) + 2(2 − 3)] sin 3 + [3(2 − 3) + 2(2 + 3)] cos 3}
= 2 [(−12 − 5) sin 3 + (−5 + 12) cos 3]
Substitute the expressions for ,  0 , and  00 in  00 − 4 0 + 13 to get
 00 − 4 0 + 13 = 2 [(−12 − 5) sin 3 + (−5 + 12) cos 3]
− 42 [(2 + 3) cos 3 + (2 − 3) sin 3] + 132 ( cos 3 +  sin 3)
= 2 [(−12 − 5 − 8 + 12 + 13) sin 3 + (−5 + 12 − 8 − 12 + 13) cos 3]
= 2 [(0) sin 3 + (0) cos 3] = 0
Thus, the function  satisfies the differential equation  00 − 4 0 + 13 = 0.
82.  = 
⇒
 0 = 
⇒
 00 = 2  . Substituting ,  0 , and  00 into  00 − 4 0 +  = 0 gives us
 (2 − 4 + 1) = 0. Since  6= 0, we must have
√
√
4 ± 16 − 4
= 2 ± 3.
=
2
2  − 4 +  = 0
2 − 4 + 1 = 0
⇒
⇒
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°
SECTION 3.4 THE CHAIN RULE
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221
83. The use of , 2 ,   ,  is just a derivative notation (see text page 159). In general,  (2) = 2 0 (2),
2  (2) = 4 00 (2),   ,   (2) = 2  () (2). Since  () = cos  and 50 = 4(12) + 2, we have
 (50) () =  (2) () = − cos , so 50 cos 2 = −250 cos 2.
84.  () = − ,  0 () = − − − = (1 − )− ,  00 () = −− + (1 − )(−− ) = ( − 2)− .
Similarly,
 000 () = (3 − )− ,  (4) () = ( − 4)− ,   ,  (1000) () = ( − 1000)− .
85. () = 10 +
1
4
sin(10) ⇒ the velocity after  seconds is () = 0 () =
86. (a)  =  cos( + )
1
4
cos(10)(10) =
cos(10) cms.
⇒ velocity = 0 = − sin( + ).
(b) If  6= 0 and  6= 0, then 0 = 0 ⇔ sin( + ) = 0 ⇔  +  = 

87. (a) () = 40 + 035 sin
(b) At  = 1,
5
2
2
54

⇒

=

⇔ =
 − 
,  an integer.




2
2
07
2
7
2
035 cos
=
cos
=
cos
54
54
54
54
54
54
7
2

=
cos
≈ 016.

54
54
 2
88. () = 12 + 28 sin
365

 2
 2 
.
( − 80) ⇒ 0 () = 28 cos 365
( − 80) 365
On March 21,  = 80, and 0 (80) ≈ 00482 hours per day. On May 21,  = 141, and 0 (141) ≈ 002398, which is
approximately one­half of 0 (80).
89. () = 2−15 sin 2
⇒
() = 0 () = 2[−15 (cos 2)(2) + (sin 2)−15 (−15)] = 2−15 (2 cos 2 − 15 sin 2)
90. (a) lim () = lim
→∞
→∞
1
1
= 1, since   0 ⇒ − → −∞ ⇒ − → 0. As time increases, the
=
1 + −
1+·0
proportion of the population that has heard the rumor approaches 1; that is, everyone in the population has heard the rumor.
(b) () = (1 + − )−1
⇒

−
= −(1 + − )−2 (−− ) =

(1 + − )2
(c)
From the graph of () = (1 + 10−05 )−1 , it seems that () = 08
(indicating that 80% of the population has heard the rumor) when
 ≈ 74 hours.
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CHAPTER 3 DIFFERENTIATION RULES
91. (a) Use () =  with  = 000225 and  = −00467 to get  0 () = ( ·  ·  +  · 1) = ( + 1) .
 0 (10) = 000225(0533)−0467 ≈ 000075, so the BAC was increasing at approximately 000075 (gdL)min after
10 minutes.
(b) A half an hour later gives us  = 10 + 30 = 40.  0 (40) = 000225(−0868)−1868 ≈ −000030, so the BAC was
decreasing at approximately 000030 (gdL)min after 40 minutes.
92. (a) The derivative  represents the rate of change of the volume with respect to the radius and the derivative  
represents the rate of change of the volume with respect to time.
(b) Since  =
 
4 3 

 ,
=
= 42
.
3

 

93. By the Chain Rule, () =
 



=
=
() = () . The derivative  is the rate of change of the velocity

 


with respect to time (in other words, the acceleration) whereas the derivative  is the rate of change of the velocity with
respect to the displacement.
94. (a)  =  with  = 4502714 × 10−20 and  = 1029953851,
where  is measured in thousands of people. The fit appears to be very good.
(b) For 1800: 1 =
5308 − 3929
7240 − 5308
= 1379, 2 =
= 1932.
1800 − 1790
1810 − 1800
So  0 (1800) ≈ (1 + 2 )2 = 16555 thousand peopleyear.
For 1850: 1 =
23,192 − 17,063
31,443 − 23,192
= 6129, 2 =
= 8251.
1850 − 1840
1860 − 1850
So  0 (1850) ≈ (1 + 2 )2 = 719 thousand peopleyear.
(c) Using  0 () =  ln  (from Formula 5) with the values of  and  from part (a), we get  0 (1800) ≈ 15685 and
 0 (1850) ≈ 68607. These estimates are somewhat less than the ones in part (b).
(d)  (1870) ≈ 41,94656. The difference of 34 million people is most likely due to the Civil War (1861–1865).
95. (a) If  is even, then  () =  (−). Using the Chain Rule to differentiate this equation, we get
 0 () =  0 (−)

(−) = − 0 (−). Thus,  0 (−) = − 0 (), so  0 is odd.

(b) If  is odd, then () = − (−). Differentiating this equation, we get  0 () = − 0 (−)(−1) =  0 (−), so  0 is
even.
96.

 ()
()
0
0

= () [()]−1 =  0 () [()]−1 + (−1) [()]−2 0 ()()
=
 0 ()
() 0 ()
() 0 () −  ()0 ()
−
=
()
[()]2
[()]2
This is an alternative derivation of the formula in the Quotient Rule. But part of the purpose of the Quotient Rule is to show
that if  and  are differentiable, so is . The proof in Section 3.2 does that; this one doesn’t.
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°
SECTION 3.4 THE CHAIN RULE
97. Since  ◦ =


180



 

(sin ◦ ) =
sin 180
 rad, we have
 =


98. (a)  () = || =
√
2 = (2 )12

180

cos 180
=

180
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223
cos ◦ .
√
⇒  0 () = 12 (2 )−12 (2) =  2 =  || for  6= 0.
 is not differentiable at  = 0.
√
(b)  () = |sin | = sin2  ⇒
 0 () = 12 (sin2 )−12 2 sin  cos  =
=

cos 
if sin   0
sin 
cos 
|sin |
− cos  if sin   0
 is not differentiable when  = ,  an integer.
(c) () = sin || = sin
√
2
⇒

cos 
if   0


 () = cos || ·
=
cos  =
||
||
− cos  if   0
0
 is not differentiable at 0.
99.  = 
⇒  0 =  ln , so the slope of the tangent line to the curve  =  at the point (  ) is  ln . An equation of
this tangent line is then  −  =  ln  ( − ). If  is the ­intercept of this tangent line, then 0 −  =  ln  ( − ) ⇒


 −1 
−1
 = 1 . The distance between ( 0) and ( 0) is | − |, and
=  −  ⇒ | − | = 
−1 = ln  ( − ) ⇒
ln 
ln   |ln |
this distance is the constant
1
for any . [Note: The absolute value is needed for the case 0    1 because ln  is
|ln |
negative there. If   1, we can write  −  = 1(ln ) as the constant distance between ( 0) and ( 0).]
100.  = 
⇒  0 =  ln , so the slope of the tangent line to the curve  =  at the point (0  0 ) is 0 ln . An equation
of this tangent line is then  − 0 = 0 ln  ( − 0 ). Since this tangent line must pass through (0 0), we have
0 − 0 = 0 ln  (0 − 0 ), or 0 = 0 (ln ) 0 . Since (0  0 ) is a point on the exponential curve  =  , we also have
0 = 0 . Equating the expressions for 0 gives 0 = 0 (ln ) 0
⇒ 1 = (ln ) 0
⇒ 0 = 1(ln ).
So 0 = 0 = 0 ln  [by Formula 1.5.10] = (1(ln )) ln  = 1 = .
101. Let () = (()) so that  () = ((())) =  (()). By the Chain Rule, we have  0 () =  0 (()) · 0 () and, by
the Chain Rule and substitution, we have  0 () =  0 (()) ·  0 () =  0 ((())) · 0 (()) · 0 ().
102.  () =  (())
⇒  0 () =  0 (()) ·  0 () by the Chain Rule. By the Product Rule and Chain Rule we have
 00 () =  0 (()) · 00 () + 0 () ·
 0
 (()) =  0 (()) ·  00 () +  0 () ·  00 (())  0 ()

=  00 (())[0 ()]2 +  0 (()) ·  00 ()
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°
224
¤
CHAPTER 3 DIFFERENTIATION RULES
APPLIED PROJECT Where Should a Pilot Start Descent?
1. Condition (i) will hold if and only if all of the following four conditions hold:
()  (0) = 0
()  0 (0) = 0 (for a smooth landing)
()  0 () = 0 (since the plane is cruising horizontally when it begins its descent)
()  () = .
First of all, condition  implies that  (0) =  = 0, so  () = 3 + 2 +  ⇒  0 () = 32 + 2 + . But
 0 (0) =  = 0 by condition . So  0 () = 32 + 2 =  (3 + 2). Now by condition , 3 + 2 = 0 ⇒  = −
Therefore,  () = −
2
.
3
2 3
2
 + 2 . Setting  () =  for condition , we get  () = − 3 + 2 =  ⇒
3
3
2
2
3
. So  =  () = − 3 3 + 2 2 .
3


 2 
 

= − for all , so  () =  − . Condition (iii) states that  2  ≤ . By the Chain Rule,
2. By condition (ii),


2
− 2 + 2 =  ⇒
3
we have
1 2
 = 
3
⇒
=
3
2
⇒ =−
  3

 
2 
62 

6
=
= − 3 32
+ 2 (2)
=
− 2

 




3

(for  ≤ ) ⇒
122
6
 6 
62
2 
− 2
= − 3  + 2 . In particular, when  = 0,  =  and so
= 3 (2)
2



 


 2 

2 
2
2
2

 
12
6
6
62
 
= − 3  + 2 = − 2 . Thus,  2 
= 2 ≤ . (This condition also follows from taking  = 0.)

2
 =0



 =0

1 mi
, and  = 300 mih into the result of part (b):
5280 ft



1
(300)2
6 35,000 · 5280
35,000
≈ 645 miles.
≤ 860 ⇒  ≥ 300 6 ·
2
5280 · 860
3. We substitute  = 860 mih2 ,  = 35,000 ft ×
4. Substituting the values of  and  in Problem 3 into
 () = −
2 3 3 2
 + 2  gives us  () = 3 + 2 ,
3

where  ≈ −4937 × 10−5 and  ≈ 478 × 10−3 .
3.5 Implicit Differentiation
1. (a)


  2
10
5 −  3 =
(7) ⇒ 10 − 3 2  0 = 0 ⇒ 3 2  0 = 10 ⇒  0 = 2


3
(b) 52 −  3 = 7 ⇒  3 = 52 − 7 ⇒  =
(c) From part (a),  0 =
√
3
52 − 7, so  0 = 13 (52 − 7)−23 (10) =
10
3(52 − 7)23
10
10
10
=
=
, which agrees with part (b).
3 2
3( 3 )23
3(52 − 7)23
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.5 IMPLICIT DIFFERENTIATION
2. (a)


(64 +  5 ) =
(2) ⇒ 243 + 5 4  0 = 2 ⇒ 5 4  0 = 2 − 243


(b) 64 +  5 = 2 ⇒  5 = 2 − 64
(b)
 √

√ 
(1) ⇒
+  =


√
√ 2
√
√
√
+  = 1 ⇒
 = 1 −  ⇒  = (1 −  )
(b)



2
1
−



=
2 2
=
2

2
1 0
2
 = 2
2

⇒ 0 =
2 2
2

2 − 4
2
2
[from part (b)]
=
22
2
=
, which agrees with part (b).
− 4)2
(2 − 4)2
2 (2
2 − 
 − 2


(22 +  −  2 ) =
(2) ⇒ 4 + 0 + (1) − 2  0 = 0 ⇒ 0 − 2  0 = −4 − 


⇒ 0 =
⇒
−4 − 
 − 2


(4 + 2  2 +  3 ) =
(5) ⇒ 43 + 2 · 2  0 +  2 · 2 + 3 2  0 = 0 ⇒ 22   0 + 3 2  0 = −43 − 22


(22  + 3 2 ) 0 = −43 − 22
8.
√
⇒  = 1 − 2  + , so


(2 − 4 +  2 ) =
(4) ⇒ 2 − 4[ 0 + (1)] + 2  0 = 0 ⇒ 2  0 − 40 = 4 − 2 ⇒


( − 2) 0 = −4 − 
7.
√

⇒ 0 = − √

1
2 − 4

=
⇒ =
, so


2 − 4


(2 − 4)(1) − (−4)
2
1
0 =
=
or
.
(2 − 4)2
(2 − 4)2
2(1 − 2)2
 0 ( − 2) = 2 −  ⇒  0 =
6.
1
1
√ 0 = − √
2 
2 
1
2
= −4 ⇒


(c) From part (a),  0 =
5.
2 − 243
5(2 − 64 )45
1
[from part (b)] = − √ + 1, which agrees with part (b).


(4) ⇒ −2−2 +  −2  0 = 0 ⇒

1
2
− =4 ⇒


2 − 243
5 4
√
5
2 − 64 , so  0 = 15 (2 − 64 )−45 (2 − 243 ) =
1 −12 1 −12 0

+ 
 =0 ⇒
2
2
1
1
 0 = −2 · −12 + 1 = 1 − √ .
2

√
√

1− 
(c) From part (a),  0 = − √ = − √


4. (a)
225
2 − 243
2 − 242
2 − 243
=
=
, which agrees with part (b).
4
5
45
5
5( )
5(2 − 64 )45
(c) From part (a),  0 =
3. (a)
⇒ =
⇒ 0 =
¤
⇒ 0 =
−43 − 22
2(22 +  2 )
=−
2
2
2  + 3
(22 + 3)


(3 − 2 +  3 ) =
(1) ⇒ 32 −  · 2  0 −  2 · 1 + 3 2  0 = 0 ⇒ 3 2  0 − 2   0 =  2 − 32


(3 2 − 2)  0 =  2 − 32
⇒ 0 =
 2 − 32
 2 − 32
=
2
3 − 2
(3 − 2)
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°
⇒
⇒
226
9.
¤


CHAPTER 3 DIFFERENTIATION RULES

2
+

=
 2
( + 1) ⇒

( + )(2) − 2 (1 +  0 )
= 2  0
( + )2
⇒
22 + 2 − 2 − 2  0 = 2( + )2  0
⇒ 2 + 2 = 2( + )2  0 + 2  0
( + 2) = [2(2 + 2 +  2 ) + 2 ]  0
⇒ 0 =
⇒
( + 2)
22  + 42 + 2 3 + 2
Or: Start by clearing fractions and then differentiate implicitly.
10.


( ) =
( − ) ⇒   0 +  · 1 = 1 −  0


0 =
11.


(sin  + cos ) =
(2 − 3) ⇒ cos  − sin  ·  0 = 2 − 3 0


⇒ 0 =
⇒
⇒
⇒  0 cos( + ) + sin  ·  0 = − sin  − cos( + ) ⇒
cos( + ) + sin 
cos( + ) + sin 


tan( − ) =
(23 + 1) ⇒ sec2 ( − ) · (1 −  0 ) = 2(3 2  0 ) +  3 · 2 ⇒


sec2 ( − ) −  0 sec2 ( − ) = 62  0 + 2 3
 0 [62 + sec2 ( − )] = sec2 ( − ) − 2 3
⇒ 62  0 +  0 sec2 ( − ) = sec2 ( − ) − 2 3
⇒ 0 =
⇒
sec2 ( − ) − 2 3
sec2 ( − ) + 62
 2

( cos ) =
( +  2 ) ⇒ (− sin ) + cos  ·  0 = 2 + 2  0


 0 (cos  − 2) = 2 +  sin  ⇒  0 =
16.
⇒  cos  ·  0 −  0 = 1 −  sin 


sin( + ) =
(cos  + cos ) ⇒ cos( + ) · (1 +  0 ) = − sin  − sin  ·  0


 0 [cos( + ) + sin ] = −[sin  + cos( + )] ⇒  0 = −
15.
⇒ 3 0 − sin  ·  0 = 2 − cos  ⇒
1 −  sin 
 cos  − 1
cos( + ) +  0 cos( + ) = − sin  − sin  ·  0
14.
⇒
2 − cos 
3 − sin 

 
( sin ) =
( + ) ⇒  cos  ·  0 + sin  ·  = 1 +  0


 0 ( cos  − 1) = 1 −  sin 
13.
⇒  0 ( + 1) = 1 − 
1 − 
 + 1
 0 (3 − sin ) = 2 − cos  ⇒  0 =
12.
⇒   0 +  0 = 1 − 
⇒ cos  ·  0 − 2  0 = 2 +  sin  ⇒
2 +  sin 
cos  − 2


sin() =
cos( + ) ⇒ cos() · (0 +  · 1) = − sin( + ) · (1 +  0 ) ⇒


 cos()  0 +  cos() = − sin( + ) −  0 sin( + ) ⇒
 cos()  0 +  0 sin( + ) = − cos() − sin( + ) ⇒
[ cos() + sin( + )]  0 = −1 [ cos() + sin( + )] ⇒  0 = −
 cos() + sin( + )
 cos() + sin( + )
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.5 IMPLICIT DIFFERENTIATION
17.


(2 +  ) =
(3) ⇒ (2 ·   0 +  · 2) + ( +   0 ) = 0 ⇒ 2  0 +   0 = −2 − 


 0 (2 +  ) = −(2 +  ) ⇒  0 = −
18.
19.

  4
 √
 + 4
⇒
+ =


1
2
( + )−12 (1 +  0 ) = 43 + 4 3  0
√
√
8 3  +  − 1 0
1 − 83  + 
√
√
=

2 +
2 +
20.
  2

() =
 + 2




+
0
0 +  = 
2 +  2
2 +  2


 −  2 +  2
 2 +  2 −  0


 =
2 +  2
2 +  2
21.


 
( ) =
( − ) ⇒  ·



 ·
 0
1
−
·  = 1 − 0

2
⇒ 0 =
1
2
2 − cos  cos 
5 − sin  sin 
⇒
⇒
√
1 − 83  + 
√
8 3  +  − 1
 2
−12
 + 2
(2 + 2  0 ) ⇒


⇒ 0 − 
0 = 
−
2 +  2
2 +  2

 −  2 +  2
0
⇒  = 
 2 +  2 − 
 

= 1 − 0

⇒ 0 −
⇒ 0 =
1
1
√
− 43 = 4 3  0 − √
0
2 +
2 +
⇒
⇒ 0 + (1) =
⇒
⇒
⇒  0 (5 − sin  sin ) = 2 − cos  cos 
1
1
√
+ √
 0 = 43 + 4 3  0
2 +
2 +
227
2 + 
2 + 

  2

(sin  cos ) =
 − 5 ⇒ sin  (− sin ) ·  0 + cos  (cos ) = 2 − 5 0


5 0 − sin  sin  ·  0 = 2 − cos  cos 
¤
⇒  ·
 0

· = 1−
2


⇒
 · 1 −  · 0
= 1 − 0
2
⇒



 − 
=
⇒ 0 1 −
2


⇒
 − 
( −  )

0 = 2
= 2

 − 
 − 
2
22.


cos(2 +  2 ) =
( ) ⇒ − sin(2 +  2 ) · (2 + 2  0 ) =   0 +  · 1 ⇒


−2 sin(2 +  2 ) − 2  0 sin(2 +  2 ) =   0 + 
⇒ − − 2 sin(2 +  2 ) =   0 + 2  0 sin(2 +  2 ) ⇒
−[ + 2 sin(2 +  2 )] =  0 [ + 2 sin(2 +  2 )] ⇒  0 = −
23.
 + 2 sin(2 +  2 )
 + 2 sin(2 +  2 )


 
 () + 2 [()]3 =
(10) ⇒  0 () + 2 · 3[ ()]2 ·  0 () + [ ()]3 · 2 = 0. If  = 1, we have


 0 (1) + 12 · 3[ (1)]2 ·  0 (1) + [ (1)]3 · 2(1) = 0 ⇒  0 (1) + 1 · 3 · 22 ·  0 (1) + 23 · 2 = 0 ⇒
 0 (1) + 12 0 (1) = −16 ⇒ 13 0 (1) = −16 ⇒  0 (1) = − 16
.
13
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°
228
24.
¤
CHAPTER 3 DIFFERENTIATION RULES


[() +  sin ()] =
(2 ) ⇒  0 () +  cos () ·  0 () + sin () · 1 = 2. If  = 0, we have


 0 (0) + 0 + sin (0) = 2(0) ⇒  0 (0) + sin 0 = 0 ⇒ 0 (0) + 0 = 0 ⇒ 0 (0) = 0.
25.

 4 2
(  − 3  + 23 ) =
(0) ⇒ 4 · 2 +  2 · 43 0 − (3 · 1 +  · 32 0 ) + 2( · 3 2 +  3 · 0 ) = 0 ⇒


43  2 0 − 32  0 + 2 3 0 = −24  + 3 − 62
0 =
26.
⇒ (43  2 − 32  + 2 3 ) 0 = −24  + 3 − 62
⇒
−24  + 3 − 62

= 3 2

4  − 32  + 2 3


( sec ) =
( tan ) ⇒  · sec  tan  · 0 + sec  · 1 =  · sec2  + tan  · 0


⇒
 sec  tan  · 0 − tan  · 0 =  sec2  − sec  ⇒ ( sec  tan  − tan ) 0 =  sec2  − sec  ⇒
0 =
 sec2  − sec 

=

 sec  tan  − tan 
27. sin  =  cos 
⇒ sin  · cos  + sin  ·  0 = (− sin  ·  0 ) + cos  · 1 ⇒
 0 sin  +  0  sin  = cos  −  cos  sin 
0 =
⇒  0 (sin  +  sin ) = cos  −  cos  sin 
⇒
cos  −  cos  sin 
.
 sin  + sin 
When  = 0 and  = 0, we have  0 =
cos 0 − 0 · cos 0 · sin 0
1−0
= 1, so an equation of the tangent line is
=
0 · sin 0 + sin 0
0+1
 − 0 = 1 ( − 0), or  = .
28. tan( + ) + sec( − ) = 2
⇒ sec2 ( + ) · (1 +  0 ) + sec( − ) tan( − ) · (1 −  0 ) = 0 ⇒
sec2 ( + ) +  0 · sec2 ( + ) + sec( − ) tan( − ) −  0 · sec( − ) tan( − ) = 0 ⇒
sec2 ( + ) + sec( − ) tan( − ) =  0 · sec( − ) tan( − ) −  0 · sec2 ( + ) ⇒
sec2 ( + ) + sec( − ) tan( − ) =  0 [sec( − ) tan( − ) − sec2 ( + )] ⇒
0 =
sec( − ) tan( − ) + sec2 ( + )
.
sec( − ) tan( − ) − sec2 ( + )
When  =
0 =

8
and  =

,
8
we have





 
√ 2

2
sec 0 tan 0 + sec2 4
0+
sec 8 − 8 tan 8 − 8 + sec2 8 + 8








=
=
√ 2 = −1, so an equation of the
sec 8 − 8 tan 8 − 8 − sec2 8 + 8
sec 0 tan 0 − sec2 4
0−
2
tangent line is  −

8


= −1  − 8 , or  = − + 4 .
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.5 IMPLICIT DIFFERENTIATION
29. 23 +  23 = 4
When  = −3
line is  − 1 =
⇒
2 −13
3
+ 23  −13  0 = 0 ⇒
¤
229

3

1
0
0
√

√
=
−
+
=
0
⇒

.
3
3
3



√
1
1
1
1
3 and  = 1, we have  0 = −  √ 13 = −
= 12 = √ , so an equation of the tangent
32 )13
(−3
3
3
−3 3
√1
3
30.  2 (6 − ) = 3
√ 

 + 3 3 or  =
√1 
3
+ 4.
⇒  2 (−1) + (6 − ) · 2 0 = 32
⇒  0 · 2(6 − ) = 32 +  2
⇒ 0 =
32 +  2
.
2(6 − )
√ 2
√
2
3(2)2 +
12 + 2
14
7
0
√
When  = 2 and  = 2, we have  =
= √
= √ = √ , so an equation of the tangent line is
2 2(6 − 2)
2 2·4
8 2
4 2
−
√
7
7
7
4
7
3
2 = √ ( − 2), or  = √  − √ + √ = √  − √ .
4 2
4 2
2 2
2 2
4 2
2 2
31. 2 −  −  2 = 1
⇒ 2 − (0 +  · 1) − 2  0 = 0 ⇒ 2 − 0 −  − 2  0 = 0 ⇒ 2 −  = 0 + 2  0
2 −  = ( + 2)  0
⇒ 0 =
2 − 
.
 + 2
When  = 2 and  = 1, we have  0 =
32. 2 + 2 + 4 2 = 12
( + 4)  0 = − − 
⇒
3
4−1
= , so an equation of the tangent line is  − 1 = 34 ( − 2), or  = 34  − 12 .
2+2
4
⇒ 2 + 2  0 + 2 + 8  0 = 0 ⇒ 2  0 + 8  0 = −2 − 2
⇒ 0 = −
⇒
+
.
 + 4
When  = 2 and  = 1, we have  0 = −
1
2+1
= − , so an equation of the tangent line is  − 1 = − 12 ( − 2) or
2+4
2
 = − 12  + 2.
33. 2 +  2 = (22 + 2 2 − )2
⇒ 2 + 2  0 = 2(22 + 2 2 − )(4 + 4  0 − 1).
When  = 0 and  = 12 , we have 0 +  0 = 2( 12 )(2 0 − 1) ⇒  0 = 2 0 − 1 ⇒  0 = 1, so an equation of the tangent
line is  −
1
2
= 1( − 0) or  =  + 12 .
34. 2  2 = ( + 1)2 (4 −  2 )
⇒ 2 · 2  0 +  2 · 2 = ( + 1)2 (−2  0 ) + (4 −  2 ) · 2( + 1)  0
⇒
22   0 + 22 = −2  0 ( + 1)2 + 2 0 (4 −  2 )( + 1) ⇒
22 = 2 0 (4 −  2 )( + 1) − 2  0 ( + 1)2 − 22   0
0 =
2(4 −
 2 )(
⇒ 22 =  0 [2(4 −  2 )( + 1) − 2( + 1)2 − 22 ] ⇒
2
22
=
2
2
2
+ 1) − 2( + 1) − 2 
(4 −  )( + 1) − ( + 1)2 − 2 
√
When  = 2 3 and  = 1, we have  0 =
√
√
√
2 3
3
2 3
=−
=−
,
=
 √ 2
2
2
6
−
4
−
12
10
5
(4 − 1 )(1 + 1) − 1(1 + 1) − 2 3 · 1
so an equation of the tangent line is  − 1 = −
√
2 3 · 12
√
√
√ 
11
3
3
 − 2 3 , or  = −
+ .
5
5
5
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
230
¤
CHAPTER 3 DIFFERENTIATION RULES
35. 2(2 +  2 )2 = 25(2 −  2 )
⇒ 4(2 +  2 )(2 + 2  0 ) = 25(2 − 2  0 ) ⇒
4( +   0 )(2 +  2 ) = 25( −   0 )
0 =
⇒
4  0 (2 +  2 ) + 25  0 = 25 − 4(2 +  2 ) ⇒
25 − 4(2 +  2 )
.
25 + 4(2 +  2 )
When  = 3 and  = 1, we have  0 =
75 − 120
25 + 40
9
9
is  − 1 = − 13
( − 3) or  = − 13
+
36.  2 ( 2 − 4) = 2 (2 − 5)
9
= − 45
= − 13
, so an equation of the tangent line
65
40
.
13
⇒  4 − 4 2 = 4 − 52
⇒ 4 3  0 − 8  0 = 43 − 10.
When  = 0 and  = −2, we have −32 0 + 16 0 = 0 ⇒ −16 0 = 0 ⇒  0 = 0, so an equation of the tangent line is
 + 2 = 0( − 0) or  = −2.
37. (a)  2 = 54 − 2
⇒ 2  0 = 5(43 ) − 2 ⇒  0 =
So at the point (1 2) we have  0 =
103 − 
.

(b)
9
10(1)3 − 1
= , and an equation
2
2
of the tangent line is  − 2 = 92 ( − 1) or  = 92  − 52 .
38. (a)  2 = 3 + 32
0 =
⇒ 2  0 = 32 + 3(2) ⇒  0 =
32 + 6
. So at the point (1 −2) we have
2
9
3(1)2 + 6(1)
= − , and an equation of the tangent line is  + 2 = − 94 ( − 1) or  = − 94  + 14 .
2(−2)
4
(b) The curve has a horizontal tangent where  0 = 0 ⇔
(c)
32 + 6 = 0 ⇔ 3( + 2) = 0 ⇔  = 0 or  = −2.
But note that at  = 0,  = 0 also, so the derivative does not exist.
At  = −2,  2 = (−2)3 + 3(−2)2 = −8 + 12 = 4, so  = ±2.
So the two points at which the curve has a horizontal tangent are
(−2 −2) and (−2 2).
39. 2 + 4 2 = 4
⇒ 2 + 8  0 = 0 ⇒  0 = −(4) ⇒
1  · 1 −  · 0
1  − [−(4)]
1 4 2 + 2
1 4
=−
=−
=−
 =−
2
2
4

4

4 4 3
4 4 3
00
Thus,  00 = −

since  and  must satisfy the
original equation 2 + 4 2 = 4

1
.
4 3
40. 2 +  +  2 = 3
⇒ 2 + 0 +  + 2  0 = 0 ⇒ ( + 2) 0 = −2 − 
⇒ 0 =
−2 − 
.
 + 2
Differentiating 2 + 0 +  + 2  0 = 0 to find  00 gives 2 + 00 +  0 +  0 + 2  00 + 2 0  0 = 0 ⇒
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.5 IMPLICIT DIFFERENTIATION

( + 2)  00 = −2 − 2 0 − 2( 0 )2 = −2 1 −
 00 = −
2 + 
+
 + 2

2 + 
 + 2
2 
¤
231
⇒


( + 2)2 − (2 + )( + 2) + (2 + )2
2
 + 2
( + 2)2
2
(2 + 4 + 4 2 − 22 − 4 −  − 2 2 + 42 + 4 +  2 )
( + 2)3


2
2
since  and  must satisfy the
2
2
(3
+
3
+
3
)
=
−
(9)
=−
original equation 2 +  +  2 = 3
( + 2)3
( + 2)3
=−
Thus,  00 = −
18
.
( + 2)3
41. sin  + cos  = 1
 00 =
=
sin 
cos 
⇒
cos  cos  − sin (− sin )  0
cos  cos  + sin  sin (sin  cos )
=
(cos )2
cos2 
cos2  cos  + sin2  sin 
cos2  cos  + sin2  sin 
=
cos2  cos 
cos3 
42. 3 −  3 = 7
 00 =
⇒ cos  ·  0 − sin  = 0 ⇒  0 =
⇒ 32 − 3 2  0 = 0 ⇒  0 =
2
2
⇒
 2 (2) − 2 (2  0 )
2[ − (2 2 )]
2( − 3 2 )
2( 3 − 3 )
2(−7)
−14
=
=
=
=
=
( 2 )2
4
3
3 2
5
5
43. If  = 0 in  +  = , then we get 0 +  = , so  = 1 and the point where  = 0 is (0 1). Differentiating implicitly with
respect to  gives us   0 +  · 1 +   0 = 0. Substituting 0 for  and 1 for  gives us 0 + 1 +   0 = 0 ⇒
  0 = −1 ⇒  0 = −1. Differentiating   0 +  +   0 = 0 implicitly with respect to  gives us
  00 +  0 · 1 +  0 +   00 +  0 ·   0 = 0. Now substitute 0 for , 1 for , and −1 for  0 .

 

 


1
1
1
2
1
1
1
00
0+ −
+ −
+  + −
() −
= 0 ⇒ − +   00 + = 0 ⇒   00 =







44. If  = 1 in 2 +  +  3 = 1, then we get 1 +  +  3 = 1
⇒
⇒  00 =
1
.
2
 3 +  = 0 ⇒ ( 2 + 1) ⇒  = 0, so the point
where  = 1 is (1 0). Differentiating implicitly with respect to  gives us 2 +   0 +  · 1 + 3 2 ·  0 = 0. Substituting 1 for
 and 0 for  gives us 2 +  0 + 0 + 0 = 0 ⇒  0 = −2. Differentiating 2 +   0 +  + 3 2  0 = 0 implicitly with respect
to  gives us 2 +   00 +  0 · 1 +  0 + 3( 2  00 +  0 · 2 0 ) = 0. Now substitute 1 for , 0 for , and −2 for  0 .
2 +  00 + (−2) + (−2) + 3(0 + 0) = 0 ⇒  00 = 2. Differentiating 2 +   00 + 2  0 + 3 2  00 + 6( 0 )2 = 0 implicitly
with respect to  gives us   000 +  00 · 1 + 2  00 + 3( 2  000 +  00 · 2  0 ) + 6[ · 2 0  00 + ( 0 )2  0 ] = 0. Now substitute 1 for
, 0 for , −2 for  0 , and 2 for  00 .  000 + 2 + 4 + 3(0 + 0) + 6[0 + (−8)] = 0 ⇒  000 = −2 − 4 + 48 = 42.
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CHAPTER 3 DIFFERENTIATION RULES
45. (a) There are eight points with horizontal tangents: four at  ≈ 157735 and
four at  ≈ 042265.
(b)  0 =
32 − 6 + 2
2(2 3 − 3 2 −  + 1)
⇒  0 = −1 at (0 1) and  0 =
1
3
at (0 2).
Equations of the tangent lines are  = − + 1 and  = 13  + 2.
(c)  0 = 0 ⇒ 32 − 6 + 2 = 0 ⇒  = 1 ±
1
3
√
3
(d) By multiplying the right side of the equation by  − 3, we obtain the first
graph. By modifying the equation in other ways, we can generate the other
graphs.
( 2 − 1)( − 2)
= ( − 1)( − 2)( − 3)
( 2 − 4)( − 2)
= ( − 1)( − 2)
( + 1)( 2 − 1)( − 2)
= ( − 1)( − 2)
( + 1)( 2 − 1)( − 2)
= ( − 1)( − 2)
( 2 + 1)( − 2)
= (2 − 1)( − 2)
( + 1)( 2 − 1)( − 2)
= ( − 1)( − 2)
( + 1)( 2 − 2)
= ( − 1)(2 − 2)
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°
SECTION 3.5 IMPLICIT DIFFERENTIATION
46. (a)
(b)
¤
233

 4
(2 3 +  2 −  5 ) =
( − 23 + 2 ) ⇒


6 2  0 + 2  0 − 5 4  0 = 43 − 62 + 2 ⇒
0 =
2(22 − 3 + 1)
2(2 − 1)( − 1)
. From the graph and the
=
6 2 + 2 − 5 4
(6 + 2 − 5 3 )
values for which  0 = 0, we speculate that there are 9 points with horizontal
tangents: 3 at  = 0, 3 at  = 12 , and 3 at  = 1. The three horizontal
tangents along the top of the wagon are hard to find, but by limiting the
­range of the graph (to [16 17], for example) they are distinguishable.
47. From Exercise 35, a tangent to the lemniscate will be horizontal if  0 = 0
[25 − 4(2 +  2 )] = 0 ⇒ 2 +  2 =
origin.) Substituting
25
4
we have
49.
(2).
⇒ an equation of the tangent line at (0  0 ) is
−2 0
0
0 
2
0 
2
( − 0 ). Multiplying both sides by 2 gives 2 − 20 = − 2 + 20 . Since (0  0 ) lies on the ellipse,
2
 0





0 
0 
2
2
+ 2 = 20 + 20 = 1.
2




2
2
−
=1 ⇒
2
2
 − 0 =
we have
75
16
25
8

 √
and  2 = 25
, so the four points are ± 5 4 3  ± 54 .
16
2
2 0
2 
+ 2 = 0 ⇒ 0 = − 2
2


 
2
2
+ 2 =1 ⇒
2


 − 0 =
(1). (Note that when  is 0,  is also 0, and there is no horizontal tangent at the
for 2 +  2 in the equation of the lemniscate, 2(2 +  2 )2 = 25(2 −  2 ), we get 2 −  2 =
Solving (1) and (2), we have 2 =
48.
25
4
⇒ 25 − 4(2 +  2 ) = 0 ⇒
2
2 0
2 
0
−
=
0
⇒

=
2
2
2 
⇒ an equation of the tangent line at (0  0 ) is
2 0
0
0 
02
0  20
(
−

).
Multiplying
both
sides
by
gives
−
=
− 2 . Since (0  0 ) lies on the hyperbola,
0
2 0
2
2
2
2

0 
0 
20
02
−
=
−
= 1.
2
2
2
2


1
0
0
√ +  = 0 ⇒  = −√
⇒ an equation of the tangent line at (0  0 )
2 
2 



√ 
0
0
is  − 0 = − √ ( − 0 ). Now  = 0 ⇒  = 0 − √ (−0 ) = 0 + 0  0 , so the ­intercept is
0
0

√
√ 
√ 
0
0 0
0 + 0  0 . And  = 0 ⇒ −0 = − √ ( − 0 ) ⇒  − 0 = 
⇒  = 0 + 0  0 ,
0
0
√

√
50.  +  =  ⇒
so the ­intercept is 0 +
√ 
0  0 . The sum of the intercepts is
√

 2 √ 2
√   
√  
√ 
0 +  0
=

= .
0 + 0  0 + 0 + 0  0 = 0 + 2 0  0 + 0 =
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°
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CHAPTER 3 DIFFERENTIATION RULES
51. If the circle has radius , its equation is 2 +  2 = 2
at  (0  0 ) is −

⇒ 2 + 2 0 = 0 ⇒  0 = − , so the slope of the tangent line

0
−1
0
. The negative reciprocal of that slope is
=
, which is the slope of  , so the tangent line at
0
−0 0
0
 is perpendicular to the radius  .
52.   = 
⇒  −1  0 = −1
⇒ 0 =
−1
−1 
−1 

=
=
= ()−1
−1





53. 2 +  2 = 2 is a circle with center  and  +  = 0 is a line through  [assume 
and  are not both zero]. 2 +  2 = 2
⇒ 2 + 2 0 = 0 ⇒  0 = −, so the
slope of the tangent line at 0 (0  0 ) is −0 0 . The slope of the line 0 is 0 0 ,
which is the negative reciprocal of −0 0 . Hence, the curves are orthogonal, and the
families of curves are orthogonal trajectories of each other.
54. The circles 2 +  2 =  and 2 +  2 =  intersect at the origin where the tangents are vertical and horizontal [assume 
and  are both nonzero]. If (0  0 ) is the other point of intersection, then 20 + 02 = 0 (1) and 20 + 02 = 0 (2).
Now 2 +  2 =  ⇒ 2 + 2 0 =  ⇒  0 =
2 + 2 0 = 0
⇒
 − 20
 − 20
=−
20
20
0 =
 − 2
and 2 +  2 = 
2
⇒
2
. Thus, the curves are orthogonal at (0  0 ) ⇔
 − 2
⇔ 20 − 420 = 402 − 20
⇔ 0 + 0 = 2(20 + 02 ),
which is true by (1) and (2).
55.  = 2
⇒  0 = 2 and 2 + 2 2 =  [assume   0] ⇒ 2 + 4 0 = 0 ⇒
2 0 = −
⇒ 0 = −

1

=−
=−
, so the curves are orthogonal if
2()
2(2 )
2
 6= 0. If  = 0, then the horizontal line  = 2 = 0 intersects 2 + 2 2 =  orthogonally
 √

at ±  0 , since the ellipse 2 + 2 2 =  has vertical tangents at those two points.
56.  = 3
⇒  0 = 32 and 2 + 3 2 =  [assume   0] ⇒ 2 + 6 0 = 0 ⇒
3 0 = − ⇒  0 = −

1

=−
=−
, so the curves are orthogonal if
3()
3(3 )
32
 6= 0. If  = 0, then the horizontal line  = 3 = 0 intesects 2 + 3 2 =  orthogonally
 √ 
at ±  0 , since the ellipse 2 + 3 2 =  has vertical tangents at those two points.
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°
SECTION 3.5 IMPLICIT DIFFERENTIATION
¤
235
57. Since 2  2 , we are assured that there are four points of intersection.
(1)
2
2
+ 2 =1 ⇒
2


 0 = 1 = −
(2)
 0

=− 2
2

⇒
 0

= 2
2

⇒
2
.
2
2
2
−
=1 ⇒
2
2
 0 = 2 =
2
2 0
+ 2 =0 ⇒
2


2
2 0
−
=0 ⇒
2
2
 2
.
2
Now 1 2 = −
2 2
2  2 2
2
2
2
2
·
= − 2 2 · 2 (3). Subtracting equations, (1) − (2), gives us 2 + 2 − 2 + 2 = 0 ⇒
2
2
 
  




2
2
2
2
+
=
−
2
2
2
2
⇒
 2  2 +  2 2
2 2 − 2 2
=
2  2
2 2
⇒
 2 (2 +  2 )
2 (2 − 2 )
=
(4). Since
2  2
2 2
2 − 2 = 2 +  2 , we have 2 − 2 = 2 +  2 . Thus, equation (4) becomes
substituting for
2
2  2
=
2
2 2
⇒
2
2 2
= 2 2 , and
2

 
2
2  2 2 2
in equation (3) gives us 1 2 = − 2 2 · 2 2 = −1. Hence, the ellipse and hyperbola are orthogonal
2

   
trajectories.
58.  = ( + )−1
⇒  0 = −( + )−2 and  = ( + )13
product of the slopes is −1, that is,
⇒  0 = 13 ( + )−23 , so the curves are othogonal if the
−1

·
= −1 ⇒  = 3( + )2 ( + )23
( + )2 3( + )23
⇒
 
 2  
√
1
1
 2
⇒ 3 = 3 ⇒  = 3 3.
[since  2 = ( + )−2 and  2 = 2 ( + )23 ] ⇒  = 3 2
=3



59. (a)


2 
 + 2 ( − ) = 

⇒   −   +
2 
3 
−
= 

2


(  −   + 2  −1 − 3  −2 ) =
( )


⇒
⇒
  0 +  · 1 −  − 2  −2 ·  0 + 23  −3 ·  0 = 0 ⇒  0 ( − 2  −2 + 23  −3 ) =  − 
0 =
−
⇒
 3 ( −  )
 − 

=
or
3
−3
3
+ 2 

  − 2  + 23 
2  −2
(b) Using the last expression for   from part (a), we get
(10 L)3 [(1 mole)(004267 Lmole) − 10 L]

= 


(25 atm)(10 L)3 − (1 mole)2 (3592 L2 ­ atm mole2 )(10 L)


+ 2(1 mole)3 (3592 L2 ­ atm mole2 )(004267 L mole)
=
−995733 L4
≈ −404 L atm
2464386541 L3 ­ atm
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°
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CHAPTER 3 DIFFERENTIATION RULES
60. (a) 2 +  +  2 + 1 = 0
⇒
2 +  0 +  · 1 + 2 0 + 0 = 0
⇒
 0 ( + 2) = −2 − 
⇒
0 =
−2 − 
 + 2
(b) Plotting the curve in part (a) gives us an empty graph, that is, there are no points that satisfy the equation. If there were any
points that satisfied the equation, then  and  would have opposite signs; otherwise, all the terms are positive and their
sum can not equal 0.
2 +  +  2 + 1 = 0
⇒
2 + 2 +  2 −  + 1 = 0
⇒
( + )2 =  − 1. The left
side of the last equation is nonnegative, but the right side is at most −1, so that proves there are no points that satisfy the
equation.
Another solution: 2 +  +  2 + 1 = 12 2 +  + 12  2 + 12 2 + 12  2 + 1 = 12 (2 + 2 +  2 ) + 12 (2 +  2 ) + 1
= 12 ( + )2 + 12 (2 +  2 ) + 1 ≥ 1
Another solution: Regarding 2 +  +  2 + 1 = 0 as a quadratic in , the discriminant is  2 − 4( 2 + 1) = −3 2 − 4.
This is negative, so there are no real solutions.
(c) The expression for  0 in part (a) is meaningless; that is, since the equation in part (a) has no solution, it does not implicitly
define a function  of , and therefore it is meaningless to consider  0 .
61. To find the points at which the ellipse 2 −  +  2 = 3 crosses the ­axis, let  = 0 and solve for .
√
 √ 
 = 0 ⇒ 2 − (0) + 02 = 3 ⇔  = ± 3. So the graph of the ellipse crosses the ­axis at the points ± 3 0 .
Using implicit differentiation to find  0 , we get 2 − 0 −  + 2 0 = 0 ⇒  0 (2 − ) =  − 2 ⇔  0 =
So  0 at
 − 2
.
2 − 
√
√
√ 
 √ 
0−2 3
0+2 3
√ = 2 and  0 at − 3 0 is
√ = 2. Thus, the tangent lines at these points are parallel.
3 0 is
2(0) − 3
2(0) + 3
62. (a) We use implicit differentiation to find  0 =
of the tangent line at (−1 1) is  =
normal line is −
 − 2
as in Exercise 61. The slope
2 − 
(b)
1 − 2(−1)
3
= = 1, so the slope of the
2(1) − (−1)
3
1
= −1, and its equation is  − 1 = −1( + 1) ⇔

 = −. Substituting − for  in the equation of the ellipse, we get
2 − (−) + (−)2 = 3 ⇒ 32 = 3 ⇔  = ±1. So the normal line
must intersect the ellipse again at  = 1, and since the equation of the line is
 = −, the other point of intersection must be (1 −1).
63. 2  2 +  = 2
⇒ 2 · 2 0 +  2 · 2 +  ·  0 +  · 1 = 0 ⇔  0 (22  + ) = −22 − 
2
0 = −
⇔
2
2 + 
2 + 
. So − 2
= −1 ⇔ 22 +  = 22  +  ⇔ (2 + 1) = (2 + 1) ⇔
22  + 
2  + 
(2 + 1) − (2 + 1) = 0 ⇔ (2 + 1)( − ) = 0 ⇔  = − 12 or  = . But  = − 12
2  2 +  =
1
4
−
1
2
⇒
6= 2, so we must have  = . Then 2  2 +  = 2 ⇒ 4 + 2 = 2 ⇔ 4 + 2 − 2 = 0 ⇔
(2 + 2)(2 − 1) = 0. So 2 = −2, which is impossible, or 2 = 1 ⇔  = ±1. Since  = , the points on the curve
where the tangent line has a slope of −1 are (−1 −1) and (1 1).
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°
SECTION 3.5 IMPLICIT DIFFERENTIATION
⇒ 2 + 8 0 = 0 ⇒  0 = −
64. 2 + 4 2 = 36
through (12 3). The tangent line is then  − 3 = −
¤
237

. Let ( ) be a point on 2 + 4 2 = 36 whose tangent line passes
4


( − 12), so  − 3 = − ( − 12). Multiplying both sides by 4
4
4
gives 42 − 12 = −2 + 12, so 42 + 2 = 12( + ). But 42 + 2 = 36, so 36 = 12( + ) ⇒  +  = 3 ⇒
 = 3 − . Substituting 3 −  for  into 2 + 42 = 36 gives 2 + 4(3 − )2 = 36 ⇔
2 + 36 − 24 + 42 = 36 ⇔
. If  = 0,  = 3 − 0 = 3, and if  =
52 − 24 = 0 ⇔ (5 − 24) = 0, so  = 0 or  = 24
5


 − 95 . Using
So the two points on the ellipse are (0 3) and 24
5
24
,
5
=3−
24
5
= − 95 .

( − 12) with ( ) = (0 3) gives us the tangent line
4


9
 − 3 = 0 or  = 3. With ( ) = 24
, we have
5  −5
−3=−
245
 − 3 = − 4(−95)
( − 12) ⇔  − 3 = 23 ( − 12) ⇔  = 23  − 5.
A graph of the ellipse and the tangent lines confirms our results.
65. For


=  2 + 1,  6= 0, we have


2 3  0 +   0 = 
⇒
 0 (2 3 + ) = 
For  =  3 + ,  6= 0, we have
0 =
 


( 2 + 1) ⇒
=


⇒ 0 =
 · 1 −  · 0
= 2  0
2
⇒  −   0 = 2 3  0
⇒

.
2 3 + 


() =
( 3 + ) ⇒ 1 = 3 2  0 +  0


⇒ 1 =  0 (3 2 + 1) ⇒
1
.
3 2 + 1
From part (a),  0 =

. Since  6= 0, we substitute  3 +  for  to get
2 3 + 



1

= 3
= 3
=
= 2
, which agrees with part (b).
2 3 + 
2 + ( 3 + )
3 + 
(3 2 + 1)
3 + 1
66. (a)  = () and 00 +  0 +  = 0
⇒  00 () +  0 () + () = 0. If  = 0, we have 0 +  0 (0) + 0 = 0,
so  0 (0) = 0.
(b) Differentiating 00 +  0 +  = 0 implicitly, we get 000 +  00 · 1 +  00 + 0 +  · 1 = 0 ⇒
000 + 2 00 + 0 +  = 0, so  000 () + 2 00 () +  0 () + () = 0. If  = 0, we have
0 + 2 00 (0) + 0 + 1 [(0) = 1 is given] = 0 ⇒ 2 00 (0) = −1 ⇒  00 (0) = − 12 .
67. 2 + 4 2 = 5
⇒ 2 + 4(2 0 ) = 0 ⇒  0 = −

. Now let  be the height of the lamp, and let ( ) be the point of
4
tangency of the line passing through the points (3 ) and (−5 0). This line has slope ( − 0)[3 − (−5)] = 18 . But the
slope of the tangent line through the point ( ) can be expressed as  0 = −
passes through (−5 0) and ( )], so −


=
4
+5
−0


, or as
=
[since the line
4
 − (−5)
+5
⇔ 42 = −2 − 5 ⇔ 2 + 42 = −5. But 2 + 42 = 5
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°
238
¤
CHAPTER 3 DIFFERENTIATION RULES
[since ( ) is on the ellipse], so 5 = −5 ⇔  = −1. Then 42 = −2 − 5 = −1 − 5(−1) = 4 ⇒  = 1, since the
point is on the top half of the ellipse. So

1
1

=
=
=
8
+5
−1 + 5
4
⇒  = 2. So the lamp is located 2 units above the
­axis.
DISCOVERY PROJECT Families of Implicit Curves
1. (a) There appear to be nine points of intersection. The “inner four” near the origin are about (±02 −09) and (±03 −11).
The “outer five” are about (20 −89), (−28 −88), (−75 −77), (−78 −47), and (−80 15).
(b) We see from the graphs with  = 5 and  = 10, and for other values of , that the curves change shape but the nine points
of intersection are the same.
2. (a) If  = 0, the graph is the unit circle. As  increases, the graph looks more diamondlike and then more crosslike (see the
graph for  ≥ 0).
For −1    0 (see the graph), there are four hyperboliclike branches as well as an ellipticlike curve bounded by
|| ≤ 1 and || ≤ 1 for values of  close to 0. As  gets closer to −1, the branches and the curve become more rectangular,
approaching the lines || = 1 and || = 1.
For  = −1, we get the lines  = ±1 and  = ±1. As  decreases, we get four test­tubelike curves (see the graph)
that are bounded by || = 1 and || = 1, and get thinner as || gets larger.
≥0
−1    0
 ≤ −1
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°
SECTION 3.6 DERIVATIVES OF LOGARITHMIC AND INVERSE TRIGONOMETRIC FUNCTIONS
¤
239
(b) The curve for  = −1 is described in part (a). When  = −1, we get
2 +  2 − 2  2 = 1 ⇔ 0 = 2  2 − 2 −  2 + 1 ⇔ 0 = (2 − 1)( 2 − 1) ⇔  = ±1 or  = ±1, which
algebraically proves that the graph consists of the stated lines.
(c)

 2
( +  2 + 2  2 ) =
(1) ⇒ 2 + 2  0 + (2 · 2  0 +  2 · 2) = 0 ⇒


2  0 + 22   0 = −2 − 22
For  = −1,  0 = −
⇒ 2(1 + 2 ) 0 = −2(1 + 2 ) ⇒  0 = −
(1 + 2 )
.
(1 + 2 )
(1 + )(1 − )
(1 −  2 )
=−
, so  0 = 0 when  = ±1 or  = 0 (which leads to  = ±1)
(1 − 2 )
(1 + )(1 − )
and  0 is undefined when  = ±1 or  = 0 (which leads to  = ±1). Since the graph consists of the lines  = ±1 and
 = ±1, the slope at any point on the graph is undefined or 0, which is consistent with the expression found for  0 .
3.6 Derivatives of Logarithmic and Inverse Trigonometric Functions
1. The differentiation formula for logarithmic functions,
2. () = ln(3 + 2 )
⇒  0 () =
1

1
2
(3 + 2 ) =
·
· 2 =
3 + 2 
3 + 2
3 + 2
3.  () = ln(2 + 3 + 5)
⇒  0 () =
4.  () =  ln  − 
 0 () =  ·
5.  () = sin(ln )
⇒

2 + 3
1
1
·
(2 + 3 + 5) = 2
· (2 + 3) = 2
2 + 3 + 5 
 + 3 + 5
 + 3 + 5
1
+ (ln ) · 1 − 1 = 1 + ln  − 1 = ln 

⇒  0 () = cos(ln ) ·
1
cos(ln )

ln  = cos(ln ) · =



6.  () = ln(sin2 ) = ln(sin )2 = 2 ln |sin |
7.  () = ln
1

⇒  0 () =
Another solution: () = ln
8.  =
1
= (ln )−1
ln 
1 
1 
⇒  0 () = 2 ·
1
· cos  = 2 cot 
sin 

 

1
1
1
= − 2 =− .



1
1
= ln 1 − ln  = − ln  ⇒  0 () = − .


⇒  0 = −1(ln )−2 ·
−1
1
=

(ln )2
9. () = ln(−2 ) = ln  + ln −2 = ln  − 2
10. () =

1
(log ) =
, is simplest when  =  because ln  = 1.

 ln 
⇒ 0 () =
1
−2

√
1
1
1

· = √
(1 + ln ) = √
1 + ln  ⇒  0 () = 12 (1 + ln )−12

2 1 + ln  
2 1 + ln 
11.  () = (ln )2 sin 
⇒  0 () = (ln )2 cos  + sin  · 2 ln  ·


2 sin 
1
= ln  ln  cos  +


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°
240
¤
CHAPTER 3 DIFFERENTIATION RULES
12. () = ln
√

 √ 2
2

1
1
·
· √
= 2
2 + 1 ⇒ 0 () = √
 +1 = √
2
2
2


+
1
 +1
 +1 2  +1
Or: () = ln
√
2 + 1 = ln(2 + 1)12 =
⇒ 0 =
13.  = log8 (2 + 3)
⇒ 0 =
14.  = log10 sec 
1
2
ln(2 + 1) ⇒ 0 () =
1

1
·
· 2 = 2
2 2 + 1
 +1

2 + 3
1
1
·
(2 + 3) = 2
· (2 + 3) = 2
(2 + 3) ln 8 
( + 3) ln 8
( + 3) ln 8

1
tan 
1
·
(sec ) =
· sec  tan  =
sec  (ln 10) 
sec  (ln 10)
ln 10
15.  () = ln ln 
⇒  0 () =
1 1
1
1 
ln  =
· =
ln  
ln  
 ln 
ln 
1−
⇒  0 () =
1 −  +  ln 
(1 − )(1) − (ln )(−1) 
· =
(1 − )2

(1 − )2
16.  () =
17.  () = 2 log2 
⇒  0 () = 2
Note that log2  (ln 2) =
1
+ log2  · 2 ln 2 = 2
 ln 2


1
+ log2  (ln 2) .
 ln 2
ln 
(ln 2) = ln  by the change of base formula. Thus,  0 () = 2
ln 2
√
(2 + 1)4
= ln  + ln(2 + 1)4 − ln 3 2 − 1 = ln  + 4 ln(2 + 1) −
2 − 1
18. () = ln √
3
 0 () =

1
+ ln  .
 ln 2
ln(2 − 1) ⇒
1
1
1
1
8
2
1
+4· 2
· 2 − ·
·2= + 2
−

 +1
3 2 − 1

 +1
3(2 − 1)


19.  = ln 3 − 25 
⇒ 0 =
20.  = ln(csc  − cot )
0 =
1
3

1
−104
4
·
(−10
)
=
3 − 25
3 − 25
⇒

1
1
csc (csc  − cot )
(csc  − cot ) =
(− csc  cot  + csc2 ) =
= csc 
csc  − cot  
csc  − cot 
csc  − cot 
21.  = ln(− + − ) = ln(− (1 + )) = ln(− ) + ln(1 + ) = − + ln(1 + )
 0 = −1 +
22. () = 
23. () = 
−1 −  + 1

1
=
=−
1+
1+
1+
2 ln 
 0 () = 
2 ln 
2 +ln 
0 () =  ·
⇒
⇒
·


2
2
2

1
(2 ln ) =  ln  2 · + (ln ) · 2 =  ln  ( + 2 ln ) =   ln  (1 + 2 ln )


2
2
2
=  · ln  =  ·  =  ⇒
2
2
2
2
2
  2 


+  ·

() =  ·  ·
(2 ) +  · 1 =  ·  · 2 + 



2
2
2
= 22  +  =  (22 + 1)
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°
SECTION 3.6 DERIVATIVES OF LOGARITHMIC AND INVERSE TRIGONOMETRIC FUNCTIONS
24.  = ln
0 =

√
√
1 + 2
= ln 1 + 2 − ln 1 − 2 =
1 − 2
⇒

1
1
( log5 ) =
( log5 )(ln 2) 
( log5 )(ln 2)
Note that log5 (ln 5) =
28.
1
2
ln(1 − 2) ⇒


1
= ln  − ln  =  ln  −  ln  ⇒  0 =  · − ln  = − ln 



26.  = log2 ( log5 )
27.
ln(1 + 2) −
1
1
1
1
1
1
·
·2− ·
· (−2) =
+
2 1 + 2
2 1 − 2
1 + 2
1 − 2
25.  = ln
0 =
1
2
¤

·

1
1
1
+ log5  =
+
.
 ln 5
( log5 )(ln 5)(ln 2) (ln 2)
1
1 + ln 
ln 
1
(ln 5) = ln  by the change of base formula. Thus,  0 =
+
=
.
ln 5
 ln  ln 2
 ln 2
 ln  ln 2


√
√


1
1
 
2
 
√
√
ln  + 2 + 1 =
 + 2 + 1 =
·
· 1+ √

 + 2 + 1 
 + 2 + 1
2 2 + 1
√
√ 2




 + 2 + 1
1
 +1
1
1
√
√
√
· √
+√
·
=
=
= √
2
2
2
2
2
2
+  +1
 +1
 +1
+  +1
 +1
 +1

ln





√
  √
1
 1
1 − cos 
=
ln 1 − cos  − ln 1 + cos  =
ln(1 − cos ) − ln(1 + cos )
1 + cos 

 2
2
1
1
1
1
·
· sin  − ·
· (− sin )
2 1 − cos 
2 1 + cos 




sin 
sin 
1 sin  (1 + cos ) + sin  (1 − cos )
1
+
=
=
2 1 − cos 
1 + cos 
2
(1 − cos )(1 + cos )




1
1 2 sin 
1 sin  + sin  cos  + sin  − sin  cos 
=
=
= csc 
=
2
1 − cos2 
2 sin2 
sin 
=
√
√
2 + ln 
1
1
√
⇒
 ln  ⇒  0 =  · + (ln ) √ =

2 
2 
√
√
√
√
ln 
2 − (2 + ln )
2  (1) − (2 + ln )(1  )
2  − (2 + ln )(1  )
√
√ 2
 00 =
=− √
=
=
4
(2  )
(4)
4 
29.  =
30.  =
ln 
1 + ln 
⇒ 0 =

[(1 + ln )2 ]
 00 = − 
[(1 + ln )2 ]2
=−
[Reciprocal Rule]
=−
⇒
 · 2(1 + ln ) · (1) + (1 + ln )2
2 (1 + ln )4
(1 + ln )[2 + (1 + ln )]
3 + ln 
=− 2
2 (1 + ln )4
 (1 + ln )3
31.  = ln |sec |
⇒ 0 =
32.  = ln(1 + ln )
1
1 
sec  =
sec  tan  = tan  ⇒  00 = sec2 
sec  
sec 
⇒ 0 =

[(1 + ln )]

 =−
[(1 + ln )]2
00
(1 + ln )(1) − (ln )(1)
1
=
(1 + ln )2
(1 + ln )2
1
1
1
· =
1 + ln  
(1 + ln )
[Reciprocal Rule] = −
⇒
(1) + (1 + ln )(1)
1 + 1 + ln 
2 + ln 
=− 2
=− 2
2 (1 + ln )2
 (1 + ln )2
 (1 + ln )2
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°
241
242
¤
CHAPTER 3 DIFFERENTIATION RULES

1 − ln( − 1)
33.  () =
 0 () =
=
⇒
−1
( − 1)[1 − ln( − 1)] + 
 − 1 − ( − 1) ln( − 1) + 
−1 =
−1
=
[1 − ln( − 1)]2
( − 1)[1 − ln( − 1)]2
[1 − ln( − 1)]2
[1 − ln( − 1)] · 1 −  ·
2 − 1 − ( − 1) ln( − 1)
( − 1)[1 − ln( − 1)]2
Dom() = { |  − 1  0 and 1 − ln( − 1) 6= 0} = { |   1 and ln( − 1) 6= 1}


=  |   1 and  − 1 6= 1 = { |   1 and  6= 1 + } = (1 1 + ) ∪ (1 +  ∞)
34.  () =
√
2 + ln  = (2 + ln )12
⇒  0 () =
1
1
1
(2 + ln )−12 · = √
2

2 2 + ln 
Dom() = { | 2 + ln  ≥ 0} = { | ln  ≥ −2} = { |  ≥ −2 } = [−2  ∞).
⇒  0 () =
35.  () = ln(2 − 2)
2( − 1)
1
(2 − 2) =
.
2 − 2
( − 2)
Dom( ) = { | ( − 2)  0} = (−∞ 0) ∪ (2 ∞).
36.  () = ln ln ln 
⇒  0 () =
1
1
1
·
· .
ln ln  ln  
Dom( ) = { | ln ln   0} = { | ln   1} = { |   } = ( ∞).



1
1
1
( + ln ) =
1+
.
 + ln  
 + ln 



1
1
1
1+
=
(1 + 1) = 1 · 2 = 2.
Substitute 1 for  to get  0 (1) =
1 + ln 1
1
1+0
⇒  0 () =
37.  () = ln( + ln )
38.  () = cos(ln 2 )
⇒  0 () = − sin(ln 2 )
Substitute 1 for  to get  0 (1) = −
39.  = ln(2 − 3 + 1)
⇒

1
2 sin(ln 2 )
ln 2 = − sin(ln 2 ) 2 (2) = −
.



2 sin(ln 12 )
= −2 sin 0 = 0.
1
0 =
1
· (2 − 3)
2 − 3 + 1
⇒
 0 (3) =
1
1
· 3 = 3, so an equation of a tangent line at
(3 0) is  − 0 = 3( − 3), or  = 3 − 9.
40.  = 2 ln 
⇒  0 = 2 ·
1
+ (ln )(2) ⇒  0 (1) = 1 + 0 = 1 , so an equation of a tangent line at (1 0) is

 − 0 = 1( − 1), or  =  − 1.
41.  () = sin  + ln 
⇒  0 () = cos  + 1.
This is reasonable, because the graph shows that  increases when  0 is
positive, and  0 () = 0 when  has a horizontal tangent.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.6 DERIVATIVES OF LOGARITHMIC AND INVERSE TRIGONOMETRIC FUNCTIONS
42.  =
ln 

 0 (1) =
⇒ 0 =
¤
243
(1) − ln 
1 − ln 
=
.
2
2
1−0
1−1
= 1 and  0 () =
= 0 ⇒ equations of tangent
12
2
lines are  − 0 = 1( − 1) or  =  − 1 and  − 1 = 0( − )
or  = 1.
43.  () =  + ln(cos )
 0 ( 4 ) = 6
⇒
 0 () =  +
 − tan 4 = 6
⇒
44.  () = log (32 − 2)
⇒
 0 () =
⇒
1
· (− sin ) =  − tan .
cos 
−1 =6
⇒
 = 7.
1
· 6.  0 (1) = 3
(32 − 2) ln 
⇒
1
·6 = 3
ln 
⇒
2 = ln 
⇒
 = 2 .
45.  = (2 + 2)2 (4 + 4)4
⇒ ln  = ln[(2 + 2)2 (4 + 4)4 ] ⇒ ln  = 2 ln(2 + 2) + 4 ln(4 + 4) ⇒


1
163
1
4
1 0
 =2· 2
· 2 + 4 · 4
· 43 ⇒  0 =  2
+ 4
⇒

 +2
 +4
 +2
 +4


163
4
 0 = (2 + 2)2 (4 + 4)4
+
2 + 2
4 + 4
46.  =
− cos2 
2 +  + 1
⇒ ln  = ln
− cos2 
2 +  + 1
⇒
ln  = ln − + ln | cos  |2 − ln(2 +  + 1) = − + 2 ln | cos  | − ln(2 +  + 1) ⇒


1
1
2 + 1
1 0
 = −1 + 2 ·
(− sin ) − 2
(2 + 1) ⇒  0 =  −1 − 2 tan  − 2
⇒

cos 
 ++1
 ++1


2 + 1
− cos2 
1 + 2 tan  + 2
0 = − 2
 ++1
 ++1
47.  =

−1
4 + 1

12
−1
⇒ ln  = ln 4
 +1
1 1
1 1
1 0
 =
−
· 43

2−1
2 4 + 1
48.  =
√ 2 −

( + 1)23
1
1
ln( − 1) − ln(4 + 1) ⇒
2
2





23
23
1
−1
1
0
0
−
− 4
⇒  =
⇒  =
2( − 1) 4 + 1
4 + 1 2 − 2
 +1
⇒ ln  =


2
⇒
⇒ ln  = ln 12  − ( + 1)23
2
1
1 0
1 1
 = · + 2 − 1 + ·
⇒

2 
3 +1




√
2
1
2
2
1
+ 2 − 1 +
⇒  0 =   − ( + 1)23
+ 2 − 1 +
0 = 
2
3 + 3
2
3 + 3
ln  =
1
2
ln  + (2 − ) +
49.  = 
⇒ ln  = ln 
2
3
ln( + 1) ⇒
⇒ ln  =  ln  ⇒  0  = (1) + (ln ) · 1 ⇒  0 = (1 + ln ) ⇒
 0 =  (1 + ln )
50.  = 1
⇒ ln  =
1
ln  ⇒

0
1
1
= − 2 ln  +



 
1 − ln 
1
⇒  0 = 1

2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
244
¤
CHAPTER 3 DIFFERENTIATION RULES
51.  =  sin 
0 = 
52.  =

⇒ ln  = ln  sin 

sin 
+ ln  cos 

√ 

0 = 
1
2
+
1
0
= (sin ) · + (ln )(cos ) ⇒




sin 
 0 =  sin 
+ ln  cos 

⇒
⇒
√ 
⇒ ln  = ln 
1
2
ln  = sin  ln  ⇒
⇒ ln  =  ln 12
⇒ ln  = 12  ln  ⇒
1
1
1 0
1
 =  · + ln  ·

2

2
⇒
√ 

ln  ⇒  0 = 12
 (1 + ln )
53.  = (cos )
⇒ ln  = ln(cos )
⇒ ln  =  ln cos  ⇒
1 0
1
 =·
· (− sin ) + ln cos  · 1 ⇒

cos 


 sin 
⇒  0 = (cos ) (ln cos  −  tan )
 0 =  ln cos  −
cos 
1
1 0
1
 = ln  ·
· cos  + ln sin  ·

sin 





ln sin 
cos 
ln sin 
+
 0 =  ln  ·
⇒  0 = (sin )ln  ln  cot  +
sin 


54.  = (sin )ln 
55.  = ln 
⇒ ln  = ln(sin )ln 
⇒ ln  = ln  · ln sin  ⇒
⇒ ln  = ln  ln  = (ln )2
56.  = (ln )cos 
 0 = (ln )cos 
⇒
⇒ ln  = cos  ln(ln ) ⇒
 cos 
 ln 
57.  = ln(2 +  2 )
0
= 2 ln 


 

2 ln 
1
⇒  0 = ln 


1
1
0
= cos  ·
· + (ln ln )(− sin ) ⇒

ln  

− sin  ln ln 
⇒ 0 =
2
1
2 + 2 0

(2 +  2 ) ⇒  0 = 2
2
+  
 + 2
2  0 +  2  0 − 2 0 = 2 ⇒ (2 +  2 − 2) 0 = 2 ⇒  0 =
58.  =  
0 =
⇒
⇒  ln  =  ln 
⇒ ·
⇒ 2  0 +  2  0 = 2 + 2 0
⇒
2
2 +  2 − 2
1
1
+ (ln ) ·  0 =  · ·  0 + ln 


⇒  0 ln  −
 0

 = ln  −


⇒
ln  − 
ln  − 
59.  () = ln( − 1)
⇒  0 () =
 (4) () = −2 · 3( − 1)−4
1
= ( − 1)−1
( − 1)
⇒ ···
⇒  00 () = −( − 1)−2
⇒  000 () = 2( − 1)−3
⇒  () () = (−1)−1 · 2 · 3 · 4 · · · · · ( − 1)( − 1)− = (−1)−1
60.  = 8 ln , so 9  = 8  0 = 8(87 ln  + 7 ). But the eighth derivative of 7 is 0, so we now have
8(87 ln ) = 7(8 · 76 ln  + 86 ) = 7(8 · 76 ln ) = 6(8 · 7 · 65 ln ) = · · · = (8! 0 ln ) = 8!
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
⇒
( − 1)!
( − 1)
SECTION 3.6 DERIVATIVES OF LOGARITHMIC AND INVERSE TRIGONOMETRIC FUNCTIONS
61. If  () = ln (1 + ), then  0 () =
¤
1
, so  0 (0) = 1.
1+
ln(1 + )
 ()
() − (0)
= lim
= lim
=  0 (0) = 1.
→0
→0


−0
Thus, lim
→0
62. Let  = . Then  = , and as  → ∞,  → ∞.




 
 

1
1
1+
= lim 1 +
= lim 1 +
=  by Equation 6.
→∞
→∞
→∞



Therefore, lim
5
1

(5) = √
·
1 − 252
1 − (5)2 
63.  () = sin−1 (5) ⇒  0 () = 
64. () = sec−1 ( ) ⇒ 0 () =
65.  = tan−1
0 =

√
−1 ⇒
1
1
1
 

( ) = √
·  = √
·

2
2

2

  −1
 −1
( ) − 1

1
1
1
1
1
 √
1
= · √
= √
· √
−1 =
√
2 ·

1
+
(
−
1)

2 −1
2 −1
2  − 1
1+
−1
⇒
67.  = (tan−1 )2
⇒  0 = 2(tan−1 )1 ·
68. () = arccos
0 =
1
 2
1
2
( ) =
·
· 2 =
1 + (2 )2 
1 + 4
1 + 4
66.  = tan−1 (2 )

1
2 tan−1 
(tan−1 ) = 2 tan−1  ·
=

1 + 2
1 + 2
√
1
1
 √
 ⇒ 0 () = − 
 = −√
√ 2 
1
−
1 − ( )
69. () = (arcsin ) ln 
⇒ 0 () = (arcsin ) ·
70. () = ln(arctan(4 ))
⇒
0 () =
=

1 −12

2

1
=− √ √
2  1−
1
ln 
1
arcsin 
+ (ln ) · √
+√
=


1 − 2
1 − 2

1
1
1
 4
· (arctan(4 )) =
·
( )
·
arctan(4 ) 
arctan(4 ) 1 + (4 )2 
1
1
43
·
· 43 =
4
8
8
arctan( ) 1 + 
(1 +  ) arctan(4 )
arcsin( 2 )
71.  () = 

72.  = tan−1  −
0
arcsin( 2 )
⇒  () = 
√

⇒
1 + 2
2

1
2arcsin(
[arcsin( 2 )] = arcsin( ) · 
·
· 2 = √

1 − 4
1 − ( 2 )2
2)


√ 2


1
1
 +1−
√
√
=
 =
√

2 1 − √ 2
 +1
1 + 2 − 2 2 + 1 + 2 + 1
2 + 1
1 +  − 2 + 1
√
√
√
2 + 1 − 
2 + 1 − 
2 + 1 − 
√
√
 = 
√

= √
= 
2
2
2
2
2
2
2
2 1+ −  +1
 +1
2  + 1 (1 +  ) − ( + 1)
2 (1 +  ) 2 + 1 − 
0
=
1
2(1 + 2 )
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°
245
246
¤
CHAPTER 3 DIFFERENTIATION RULES
73. () = cot−1 () + cot−1 (1)
0 () = −
⇒


1
1
1
1
1
 1
2
1
=−
=
−
·
−
= 0.
−
·
−
+ 2
1 + 2
1 + (1)2  
1 + 2
2 + 1
2
1 + 2
 +1
Note that this makes sense because () =
74. () = arcsin(1)

3
for   0 and () =
for   0.
2
2
⇒
1
1
 1
0 () = 
= 
2


1 − (1)
1 − 12
1
1
√
= −
=−
|  | 2 − 1
2 (2 − 1)
75.  =  sin−1  +
√
1 − 2


1
1
1
1
√ = −√
− 2 = −
4
2
4

 − 2
1 − 1

⇒
1
1


+ (sin−1 )(1) + (1 − 2 )−12 (−2) = √
+ sin−1  − √
= sin−1 
0 =  · √
2
1 − 2
1 − 2
1 − 2
76.  = cos−1 (sin−1 )
77.  = tan−1
0 =


+ ln
⇒

1

1
1
sin−1  = − 
0 = − 
·
·√
−1 2
−1 2

1 − 2
1 − (sin )
1 − (sin )
 1  − 
−
= tan−1
+ ln
⇒
+

2
+
1
1
2
1 +
1
1
1
( + ) · 1 − ( − ) · 1
·
·
=
  2 · + ·  −  ·
2 +

2
( + )2
2  −  ( + )2

1+
+
+


1
=
2
+


·





+
= 2
+ 2

( − )( + )
 + 2
 − 2
12
1−
78.  = arctan
⇒
1+

12

−12
1 1−
1
 1−
1
(1 + )(−1) − (1 − )(1)
·
=
·
0 =
2 ·  1 + 

1
−

2
1
+

(1 + )2
1−
1+
1+
1
+

1+

12
1 1+
1
−2
1 +  1 (1 + )12
−2
· ·
·
=
·
=
·
1− 2 1−
1+
(1 + )2
2
2 (1 − )12 (1 + )2
+
1+
1+
−1
−1
=
= √
2(1 − )12 (1 + )12
2 1 − 2
79.  () =
1−
= arctan
1+

√
√
−12
1
1
 arcsin 
1 − 2
1 − 2 arcsin  ⇒  0 () = 1 − 2 · √
+ arcsin  ·
(−2) = 1 − √
2
2
1−
1 − 2
Note that  0 = 0 where the graph of  has a horizontal tangent. Also note
that  0 is negative when  is decreasing and  0 is positive when  is
increasing.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
¤
SECTION 3.6 DERIVATIVES OF LOGARITHMIC AND INVERSE TRIGONOMETRIC FUNCTIONS
80.  () = arctan(2 − )
⇒  0 () =
247
1
 2
2 − 1
( − ) =
·
1 + (2 − )2 
1 + (2 − )2
Note that  0 = 0 where the graph of  has a horizontal tangent. Also note
that  0 is negative when  is decreasing and  0 is positive when  is
increasing.
81. Let  = cos−1 . Then cos  =  and 0 ≤  ≤ 
⇒ − sin 

=1 ⇒


1
1
1
= −√
=−
= −
. [Note that sin  ≥ 0 for 0 ≤  ≤ .]
2

sin 
1 − 2
1 − cos 

82. (a) Let  = sec−1 . Then sec  =  and  ∈ 0

2



∪  3
. Differentiate with respect to : sec  tan 
2




=1 ⇒

1
1
1


= √
=
=
. Note that tan2  = sec2  − 1 ⇒ tan  = sec2  − 1
2
2

sec  tan 
  −1
sec  sec  − 1
since tan   0 when 0   

2
or    
3
.
2
(b)  = sec−1  ⇒ sec  =  ⇒ sec  tan 

=1 ⇒


1
=
. Now tan2  = sec2  − 1 = 2 − 1,

sec  tan 
√


so tan  = ± 2 − 1. For  ∈ 0 2 ,  ≥ 1, so sec  =  = || and tan  ≥ 0 ⇒
√


1
1

√
= √
=
. For  ∈ 2   ,  ≤ −1, so || = − and tan  = − 2 − 1 ⇒

 2 − 1
|| 2 − 1
1
1
1
1

√
√
 =
=
=  √
=
.

sec  tan 
 − 2 − 1
(−) 2 − 1
|| 2 − 1
83. If  =  −1 (), then () = . Differentiating implicitly with respect to  and remembering that  is a function of ,
we get  0 ()
84.  (4) = 5

1

= 1, so
= 0


 ()
⇒
 −1 0

() =
0

⇒  −1 (5) = 4. By Exercise 83,  −1 (5) =
85.  () =  + 
( −1 )0 (1) =
1
.
 0 ( −1 ())
1
1
3
1
= 0
=
= .
 0 ( −1 (5))
 (4)
23
2
⇒  0 () = 1 +  . Observe that  (0) = 1, so that  −1 (1) = 0. By Exercise 83, we have
1
1
1
1
1
= 0
=
= .
=
 0 ( −1 (1))
 (0)
1 + 0
1+1
2
86.  () = 3 + 3 sin  + 2 cos 
⇒  0 () = 32 + 3 cos  − 2 sin . Observe that (0) = 2, so that  −1 (2) = 0.
By Exercise 83, we have ( −1 )0 (2) =
1
1
1
1
1
= 0
=
=
= .
 0 ( −1 (2))
 (0)
3(0)2 + 3 cos 0 − 2 sin 0
3(1)
3
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°
248
¤
CHAPTER 3
DIFFERENTIATION RULES
1 0
1
 =  ·  0 + (ln  )  0 ⇒






1

1
0 =   ·  0 + (ln  )  0 =    ·  0 + (ln  ) 0 =  ·
·  0 + (ln  ) ·   ·  0



87.  =  
⇒ ln  = ln  
⇒ ln  =  ln 
⇒
⇒
0 =  ·  −1 ·  0 + (ln  ) ·   ·  0
88. (a) With () = 3 , we have  () =  and () = 3 in the formula in Exercise 87. That formula gives
0 () = 3 · 3−1 · 1 + (ln ) · 3 · 0 = 32 .
(b) With () = 3 , we have  () = 3 and () =  in the formula in Exercise 87. That formula gives
0 () =  · 3−1 · 0 + (ln 3) · 3 · 1 = 3 (ln 3).
(c) With () = (sin ) , we have  () = sin  and () =  in the formula in Exercise 87. That formula gives
0 () =  · (sin )−1 · cos  + (ln sin ) · (sin ) · 1 =  cos  (sin )−1 + (sin ) ln sin . Further simplification
gives  cos  (sin )−1 + (sin ) ln sin  =
 cos  (sin )
+ (sin ) ln sin  = (sin ) ( cot  + ln sin ).
sin 
3.7 Rates of Change in the Natural and Social Sciences
1. (a)  = () = 3 − 92 + 24 (in feet)
⇒ () =  0 () = 32 − 18 + 24 (in fts)
(b) (1) = 3(1)2 − 18(1) + 24 = 9 fts
(c) The particle is at rest when () = 0: 32 − 18 + 24 = 0 ⇔ 3( − 2)( − 4) = 0 ⇔  = 2 s or  = 4 s.
(d) The particle is moving in the positive direction when ()  0. 3( − 2)( − 4)  0 ⇒ 0 ≤   2 or   4.
(e) Because the particle changes direction when  = 2 and
(f )
 = 4, we need to calculate the distances traveled in the
intervals [0 2], [2 4], and [4 6] separately.
| (2) −  (0)| = |20 − 0| = 20
| (4) −  (2)| = |16 − 20| = 4
| (6) −  (4)| = |36 − 16| = 20
The total distance is 20 + 4 + 20 = 44 ft.
(g) () = 32 − 18 + 24 ⇒
(h)
() =  0 () = 6 − 18 (in (fts)s or fts2 ).
(1) = 6(1) − 18 = −12 fts2
(i) The particle is speeding up when  and  have the same sign. This occurs when 2    3 ( and  are both negative) and
when   4 ( and  are both positive). It is slowing down when  and  have opposite signs; that is, when 0 ≤   2 and
when 3    4.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.7
2. (a)  = () =
(b) (1) =
2
RATES OF CHANGE IN THE NATURAL AND SOCIAL SCIENCES
¤
249
9
(2 + 9)(9) − 9(2)
−92 + 81
−9(2 − 9)
(in feet) ⇒ () =  0 () =
= 2
=
(in fts)
2
2
2
+9
( + 9)
( + 9)
(2 + 9)2
72
−9(1 − 9)
= 072 fts
=
(1 + 9)2
100
(c) The particle is at rest when () = 0.
−9(2 − 9)
=0
(2 + 9)2
⇔ 2 − 9 = 0 ⇒  = 3 s [since  ≥ 0].
(d) The particle is moving in the positive direction when ()  0.
−9(2 − 9)
 0 ⇒ −9(2 − 9)  0 ⇒ 2 − 9  0 ⇒ 2  9 ⇒ 0 ≤   3.
(2 + 9)2
(e) Since the particle is moving in the positive direction and
(f )
in the negative direction, we need to calculate the distance
traveled in the intervals [0 3] and[3 6], respectively.


| (3) −  (0)| =  27
− 0 = 32
18


= 3
| (6) −  (3)| =  54
− 27
45
18
10
The total distance is
(g) () = −9
2 − 9
(2 + 9)2
() =  0 () = −9
(1) =
3
2
+
3
10
=
9
5
or 18 ft.
⇒
(2 + 9)2 (2) − (2 − 9)2(2 + 9)(2)
2(2 + 9)[(2 + 9) − 2(2 − 9)]
18(2 − 27)
= −9
=
.
2
2
2
2
4
[( + 9) ]
( + 9)
(2 + 9)3
18(−26)
= −0468 fts2
103
(h)
√
(i) The particle is speeding up when  and  have the same sign.  is negative for 0    27 [≈ 52], so from the figure in
√
part (h), we see that  and  are both negative for 3    3 3. The particle is slowing down when  and  have opposite
√
signs. This occurs when 0    3 and when   3 3.
3. (a)  = () = sin(2) (in feet)
(b) (1) =

2
cos 2 =

(0)
2
⇒ () =  0 () = cos(2) · (2) =

2
cos(2) (in fts)
= 0 fts
(c) The particle is at rest when () = 0.

2
cos 2  = 0 ⇔ cos 2  = 0 ⇔


2
=

2
+ 
⇔  = 1 + 2, where 
is a nonnegative integer since  ≥ 0.
(d) The particle is moving in the positive direction when ()  0. From part (c), we see that  changes sign at every positive
odd integer.  is positive when 0    1, 3    5, 7    9, and so on.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
250
¤
CHAPTER 3
DIFFERENTIATION RULES
(e)  changes sign at  = 1, 3, and 5 in the interval [0 6]. The total distance traveled during the first 6 seconds is
|(1) −  (0)| + |(3) −  (1)| + | (5) −  (3)| + | (6) −  (5)| = |1 − 0| + |−1 − 1| + |1 − (−1)| + |0 − 1|
= 1 + 2 + 2 + 1 = 6 ft
(g) () =
(f )

2
cos(2) ⇒
() =  0 () =

2
[− sin(2) · (2)]
= (−2 4) sin(2) fts2
(1) = (−2 4) sin(2) = −2 4 fts2
(h)
(i) The particle is speeding up when  and  have the same sign. From
the figure in part (h), we see that  and  are both positive when
3    4 and both negative when 1    2 and 5    6. Thus,
the particle is speeding up when 1    2, 3    4, and
5    6. The particle is slowing down when  and  have
opposite signs; that is, when 0    1, 2    3, and 4    5.
4. (a)  = () = 2 − (in feet)
⇒ () =  0 () = 2 (−− ) + − (2) = − (− + 2) (in fts)
(b) (1) = (1)−1 (−1 + 2) = 1 fts
(c) The particle is at rest when () = 0. () = 0 ⇔  = 0 or 2 s.
(d) The particle is moving in the positive direction when ()  0 ⇔ − (− + 2)  0 ⇔ (− + 2)  0 ⇔
0    2.
(e)  changes sign at  = 2 in the interval [0 6]. The total distance traveled during the first 6 seconds is

 

| (2) −  (0)| + | (6) −  (2)| = 4−2 − 0 + 36−6 − 4−2  = 4−2 + 4−2 − 36−6
= 8−2 − 36−6 ≈ 099 ft
(f )
(g) () = (2 − 2 )−
⇒
(h)
() =  0 () = (2 − 2 )(−− ) + − (2 − 2)


= − −(2 − 2 ) + (2 − 2)
= − (2 − 4 + 2) fts2
(1) = −1 (1 − 4 + 2) = −1 fts2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.7
(i) () = 0 ⇔ 2 − 4 + 2 = 0 [−
RATES OF CHANGE IN THE NATURAL AND SOCIAL SCIENCES
¤
251
√
√
4± 8
= 2 ± 2 [≈ 06 and 34]. The particle is speeding
6= 0] ⇔  =
2
up when  and  have the same sign. Using the previous information and the figure in part (h), we see that  and  are both
√
√
positive when 0    2 − 2 and both negative when 2    2 + 2. The particle is slowing down when  and  have
√
√
opposite signs. This occurs when 2 − 2    2 and   2 + 2.
5. (a) From the figure, the velocity  is positive on the interval (0 2) and negative on the interval (2 3). The acceleration  is
positive (negative) when the slope of the tangent line is positive (negative), so the acceleration is positive on the interval
(0 1), and negative on the interval (1 3). The particle is speeding up when  and  have the same sign, that is, on the
interval (0 1) when   0 and   0, and on the interval (2 3) when   0 and   0. The particle is slowing down
when  and  have opposite signs, that is, on the interval (1 2) when   0 and   0.
(b)   0 on (0 3) and   0 on (3 4).   0 on (1 2) and   0 on (0 1) and (2 4). The particle is speeding up on (1 2)
[  0,   0] and on (3 4) [  0,   0]. The particle is slowing down on (0 1) and (2 3) [  0,   0].
6. (a) The velocity  is positive when  is increasing, that is, on the intervals (0 1) and (3 4); and it is negative when  is
decreasing, that is, on the interval (1 3). The acceleration  is positive when the graph of  is concave upward ( is
increasing), that is, on the interval (2 4); and it is negative when the graph of  is concave downward ( is decreasing), that
is, on the interval (0 2). The particle is speeding up on the interval (1 2) [  0,   0] and on (3 4) [  0,   0].
The particle is slowing down on the interval (0 1) [  0,   0] and on (2 3) [  0,   0].
(b) The velocity  is positive on (3 4) and negative on (0 3). The acceleration  is positive on (0 1) and (2 4) and negative
on (1 2). The particle is speeding up on the interval (1 2) [  0,   0] and on (3 4) [  0,   0]. The particle is
slowing down on the interval (0 1) [  0,   0] and on (2 3) [  0,   0].
7. The particle is traveling forward when its velocity is positive. From the graph, this occurs when 0    5. The particle is
traveling backward when its velocity is negative. From the graph, this occurs when 7    8. When 5    7, its velocity is
zero and the particle is not moving.
8. The graph of the acceleration function is the graph of the derivative of the velocity function. Since the velocity function is
piecewise linear, its derivative, where it exists, equals the slope of the corresponding piece of the velocity graph. Thus, we
obtain the following table and graph of the acceleration function.
Interval
01
13
35
57
78
Acceleration
(slope of velocity graph)
3
0
− 32
0
−3
[continued]
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°
252
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CHAPTER 3
DIFFERENTIATION RULES
The particle speeds up when its velocity and acceleration have the same sign. This occurs when 0    1 (  0 and
  0) and when 7    8 (  0 and   0). The particle slows down when its velocity and acceleration have opposite
signs. This occurs when 3    5 (  0 and   0). The particle travels at a constant speed when its acceleration is zero.
This occurs when 1    3 and when 5    7.
9. (a) () = 2 + 245 − 492
⇒ () = 0 () = 245 − 98. The velocity after 2 s is (2) = 245 − 98(2) = 49 ms
and after 4 s is (4) = 245 − 98(4) = −147 ms.
(b) The projectile reaches its maximum height when the velocity is zero. () = 0 ⇔ 245 − 98 = 0 ⇔
=
245
= 25 s.
98


(c) The maximum height occurs when  = 25. (25) = 2 + 245(25) − 49(25)2 = 32625 m or 32 58 m .
(d) The projectile hits the ground when  = 0 ⇔ 2 + 245 − 492 = 0 ⇔

−245 ± 2452 − 4(−49)(2)
⇒  =  ≈ 508 s [since  ≥ 0]
=
2(−49)
(e) The projectile hits the ground when  =  . Its velocity is ( ) = 245 − 98 ≈ −253 ms [downward].
10. (a) At maximum height the velocity of the ball is 0 fts. () = 0 () = 80 − 32 = 0
 
 2
 
So the maximum height is  52 = 80 52 − 16 52 = 200 − 100 = 100 ft.
⇔ 32 = 80 ⇔  = 52 .
(b) () = 80 − 162 = 96 ⇔ 162 − 80 + 96 = 0 ⇔ 16(2 − 5 + 6) = 0 ⇔ 16( − 3)( − 2) = 0.
So the ball has a height of 96 ft on the way up at  = 2 and on the way down at  = 3. At these times the velocities are
(2) = 80 − 32(2) = 16 fts and (3) = 80 − 32(3) = −16 fts, respectively.
11. (a) () = 15 − 1862
⇒
() = 0 () = 15 − 372. The velocity after 2 s is (2) = 15 − 372(2) = 756 ms.
(b) 25 =  ⇔ 186 − 15 + 25 = 0 ⇔  =
2
15 ±

152 − 4(186)(25)
2(186)
⇔  = 1 ≈ 235 or  = 2 ≈ 571.
The velocities are (1 ) = 15 − 3721 ≈ 624 ms [upward] and (2 ) = 15 − 3722 ≈ −624 ms [downward].
12. (a) () = 4 − 43 − 202 + 20
⇒ () = 0 () = 43 − 122 − 40 + 20.  = 20 ⇔
43 − 122 − 40 + 20 = 20 ⇔ 43 − 122 − 40 = 0 ⇔ 4(2 − 3 − 10) = 0 ⇔
4( − 5)( + 2) = 0 ⇔  = 0 s or 5 s [for  ≥ 0].
(b) () =  0 () = 122 − 24 − 40.  = 0 ⇔ 122 − 24 − 40 = 0 ⇔ 4(32 − 6 − 10) = 0 ⇔

6 ± 62 − 4(3)(−10)
1√
=1±
=
39 ≈ 308 s [for  ≥ 0]. At this time, the acceleration changes from negative to
2(3)
3
positive and the velocity attains its minimum value.
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°
SECTION 3.7
RATES OF CHANGE IN THE NATURAL AND SOCIAL SCIENCES
¤
⇒ 0 () = 2. 0 (15) = 30 mm2mm is the rate at which
13. (a) () = 2
the area is increasing with respect to the side length as  reaches 15 mm.
(b) The perimeter is  () = 4, so 0 () = 2 = 12 (4) = 12  (). The
figure suggests that if ∆ is small, then the change in the area of the square
is approximately half of its perimeter (2 of the 4 sides) times ∆. From the
figure, ∆ = 2 (∆) + (∆)2 . If ∆ is small, then ∆ ≈ 2 (∆) and
so ∆∆ ≈ 2.
14. (a)  () = 3
⇒


 
= 32 .
= 3(3)2 = 27 mm3mm is the

 =3
rate at which the volume is increasing as  increases past 3 mm.
(b) The surface area is () = 62 , so  0 () = 32 = 12 (62 ) = 12 ().
The figure suggests that if ∆ is small, then the change in the volume of the
cube is approximately half of its surface area (the area of 3 of the 6 faces)
times ∆. From the figure, ∆ = 32 (∆) + 3(∆)2 + (∆)3 .
If ∆ is small, then ∆ ≈ 32 (∆) and so ∆ ∆ ≈ 32 .
15. (a) Using () = 2 , we find that the average rate of change is:
(i)
(iii)
9 − 4
(3) − (2)
=
= 5
3−2
1
(ii)
(25) − (2)
625 − 4
=
= 45
25 − 2
05
(21) − (2)
441 − 4
=
= 41
21 − 2
01
(b) () = 2
⇒ 0 () = 2, so 0 (2) = 4.
(c) The circumference is () = 2 = 0 (). The figure suggests that if ∆ is small,
then the change in the area of the circle (a ring around the outside) is approximately
equal to its circumference times ∆. Straightening out this ring gives us a shape that
is approximately rectangular with length 2 and width ∆, so ∆ ≈ 2(∆).
Algebraically, ∆ = ( + ∆) − () = ( + ∆)2 − 2 = 2(∆) + (∆)2 .
So we see that if ∆ is small, then ∆ ≈ 2(∆) and therefore, ∆∆ ≈ 2.
16. After  seconds the radius is  = 60, so the area is () = (60)2 = 36002
(a) 0 (1) = 7200 cm2 s
(b) 0 (3) = 21,600 cm2 s
⇒ 0 () = 7200 ⇒
(c) 0 (5) = 36,000 cm2 s
As time goes by, the area grows at an increasing rate. In fact, the rate of change is linear with respect to time.
17. () = 42
⇒  0 () = 8
(a)  (1) = 8 ft ft
0
2
⇒
(b)  0 (2) = 16 ft2 ft
(c)  0 (3) = 24 ft2 ft
As the radius increases, the surface area grows at an increasing rate. In fact, the rate of change is linear with respect to the
radius.
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°
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254
¤
CHAPTER 3
18. (a) Using  () =
DIFFERENTIATION RULES
3
4
3  ,
we find that the average rate of change is:
4
(512)
3
− 43 (125)
= 172 m3 m
3
4
3 (216)
− 43 (125)
= 1213 m3 m
1
(i)
 (8) −  (5)
=
8−5
(ii)
 (6) −  (5)
=
6−5
(iii)
 (51) −  (5)
=
51 − 5
4
(51)3
3
− 43 (5)3
= 102013 m3 m
01
(b)  0 () = 42 , so  0 (5) = 100 m3 m.
⇒  0 () = 42 = (). By analogy with Exercise 15(c), we can say that the change in the volume
(c)  () = 43 3
of the spherical shell, ∆ , is approximately equal to its thickness, ∆, times the surface area of the inner sphere. Thus,
∆ ≈ 42 (∆) and so ∆ ∆ ≈ 42 .
19. The mass is  () = 32 , so the linear density at  is () =  0 () = 6.
(a) (1) = 6 kgm
(b) (2) = 12 kgm
(c) (3) = 18 kgm
Since  is an increasing function, the density will be the highest at the right end of the rod and lowest at the left end.


⇒  0 () = 5000 · 2 1 −


5
= −21875 galmin
(a)  0 (5) = −250 1 − 40


= −125 galmin
(c)  0 (20) = −250 1 − 20
40
20. () = 5000 1 −
2
1

40

 1 
− 40 = −250 1 −
1

40

1

40

(b)  0 (10) = −250 1 −

(d)  0 (40) = −250 1 −
10
40


40
40
= −1875 galmin
= 0 galmin
The water is flowing out the fastest at the beginning — when  = 0,  0 () = −250 galmin. The water is flowing out the
slowest at the end — when  = 40,  0 () = 0. As the tank empties, the water flows out more slowly.
21. The quantity of charge is () = 3 − 22 + 6 + 2, so the current is 0 () = 32 − 4 + 6.
(a) 0 (05) = 3(05)2 − 4(05) + 6 = 475 A
(b) 0 (1) = 3(1)2 − 4(1) + 6 = 5 A
The current is lowest when 0 has a minimum. 00 () = 6 − 4  0 when   23 . So the current decreases when  
increases when   23 . Thus, the current is lowest at  =
22. (a)  =

= ()−2
2
⇒
2
3
2
3
and
s.

2
= −2()−3 = −
, which is the rate of change of the force with

3
respect to the distance between the bodies. The minus sign indicates that as the distance  between the bodies increases,
the magnitude of the force  exerted by the body of mass  on the body of mass  is decreasing.
(b) Given  0 (20,000) = −2, find  0 (10,000). −2 = −
 0 (10 000) = −
2
20,0003
⇒  = 20,0003 .
2(20,0003 )
= −2 · 23 = −16 Nkm
10,0003
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°
SECTION 3.7
RATES OF CHANGE IN THE NATURAL AND SOCIAL SCIENCES
¤
255

−12
2
23. With  = 0 1 − 2
,



−12
−32  


1
2 
2


2

− 2
() =  () + 
() = 0 1 − 2
1− 2
()
=
·  +  · 0 −




2




−32 


2
2
0 
2
= 0 1 − 2
· 1− 2 + 2 =



(1 −  2 2 )32
Note that we factored out (1 −  2 2 )−32 since −32 was the lesser exponent. Also note that
24. (a) () = 7 + 5 cos[0503( − 675)]

() = .

⇒ 0 () = −5 sin[0503( − 675)](0503) = −2515 sin[0503( − 675)].
At 3:00 AM,  = 3, and 0 (3) = −2515 sin[0503(−375)] ≈ 239 mh (rising).
(b) At 6:00 AM ,  = 6, and 0 (6) = −2515 sin[0503(−075)] ≈ 093 mh (rising).
(c) At 9:00 AM,  = 9, and 0 (9) = −2515 sin[0503(225)] ≈ −228 mh (falling).
(d) At noon,  = 12, and 0 (12) = −2515 sin[0503(525)] ≈ −121 mh (falling).
25. (a) To find the rate of change of volume with respect to pressure, we first solve for  in terms of  .
 = 
⇒  =


⇒


= − 2.


(b) From the formula for   in part (a), we see that as  increases, the absolute value of  decreases.
Thus, the volume is decreasing more rapidly at the beginning of the 10 minutes.
(c)  = −
26. (a) [C] =
1
1 
=−
 

2 
 + 1



1


=
=
[from part (a)] =
− 2

(  )


⇒ rate of reaction =
[C]
( + 1)(2 ) − (2 )()
2 ( + 1 − )
2 
=
=
=
2
2

( + 1)
( + 1)
( + 1)2
2  +  − 2 

2 
=
=
.
 + 1
 + 1
 + 1

2


2 
[C]
So ( − )2 = 
[from part (a)] =
.
=
=
 + 1
( + 1)2


(b) If  = [C], then  −  =  −
(c) As  → ∞, [C] =
(d) As  → ∞,
2 
(2 )
2 
2 
=
=
→
=  molesL.
 + 1
( + 1)
 + (1)

2 
[C]
=
→ 0.

( + 1)2
(e) As  increases, nearly all of the reactants A and B are converted into product C. In practical terms, the reaction virtually
stops.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
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¤
CHAPTER 3
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27. In Example 6, the population function was  = 2 0 . Since we are tripling instead of doubling and the initial population is
400, the population function is () = 400 · 3 . The rate of growth is 0 () = 400 · 3 · ln 3, so the rate of growth after
25 hours is 0 (25) = 400 · 325 · ln 3 ≈ 6850 bacteriahour
28.  = () =

1 + −07
 (0) = 20 ⇒ 20 =

12
=
14
1+
⇒ 0 = −

1+
 · −07 (−07)
(1 + −07 )2
[Reciprocal Rule]. When  = 0,  = 20 and 0 = 12.
⇒  = 20(1 + ).  0 (0) = 12 ⇒ 12 =
07
(1 + )2
⇒ 12 =
07(20)(1 + )
(1 + )2
⇒
⇒ 6(1 + ) = 7 ⇒ 6 + 6 = 7 ⇒  = 6 and  = 20(1 + 6) = 140. For the long run, we let 
increase without bound.
lim () = lim
→∞
→∞
140
140
= 140, indicating that in the long run, the yeast
=
1 + 6−07
1+6·0
population stabilizes at 140 cells.
29. (a) 1920: 1 =
110
210
1860 − 1750
2070 − 1860
=
= 11, 2 =
=
= 21,
1920 − 1910
10
1930 − 1920
10
(1 + 2 )/ 2 = (11 + 21)2 = 16 millionyear
1980: 1 =
740
830
4450 − 3710
5280 − 4450
=
= 74, 2 =
=
= 83,
1980 − 1970
10
1990 − 1980
10
(1 + 2 )/ 2 = (74 + 83)2 = 785 millionyear
(b)  () = 3 + 2 +  +  (in millions of people), where  ≈ −0000 284 900 3,  ≈ 0522 433 122 43,
 ≈ −6395 641 396, and  ≈ 1720586 081.
(c)  () = 3 + 2 +  +  ⇒  0 () = 32 + 2 +  (in millions of people per year)
(d) 1920 corresponds to  = 20 and  0 (20) ≈ 1416 millionyear. 1980 corresponds to  = 80 and
 0 (80) ≈ 7172 millionyear. These estimates are smaller than the estimates in part (a).
(e)  () =  (where  = 143653 × 109 and  = 101395) ⇒  0 () =  ln  (in millions of people per year)
(f )  0 (20) ≈ 2625 millionyear [much larger than the estimates in part (a) and (d)].
 0 (80) ≈ 6028 millionyear [much smaller than the estimates in parts (a) and (d)].
(g)  0 (85) ≈ 7624 millionyear and  0 (85) ≈ 6461 millionyear. The first estimate is probably more accurate.
30. (a) () = 4 + 3 + 2 +  +  years of age, where   −1404 771 699 × 10−6 ,   0011 167 331 7,
  −33288 096 21,   44,09725101,   −21,904,39636.
(b) () = 4 + 3 + 2 +  +  ⇒ 0 () = 43 + 32 + 2 +  (in years of age per year).
(c) 0 (1990)  011, so the rate of change of first marriage age for Japanese women in 1990 was approximately 011 years of
age per year.
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°
SECTION 3.7
RATES OF CHANGE IN THE NATURAL AND SOCIAL SCIENCES
(d) The model for  and the data points are shown on the left, and a graph for 0 () is shown on the right:
31. (a) Using  =
() =
(b) () =

(2 − 2 ) with  = 001,  = 3,  = 3000, and  = 0027, we have  as a function of :
4
3000
(0012 − 2 ). (0) = 0925 cms, (0005) = 0694 cms, (001) = 0.
4(0027)3



(2 − 2 ) ⇒  0 () =
(−2) = −
. When  = 3,  = 3000, and  = 0027, we have
4
4
2
 0 () = −
3000
.  0 (0) = 0,  0 (0005) = −92592 (cms)cm, and  0 (001) = −185185 (cms)cm.
2(0027)3
(c) The velocity is greatest where  = 0 (at the center) and the velocity is changing most where  =  = 001 cm
(at the edge).
32. (a) (i)  =
1
2
1
(ii)  =
2
(iii)  =
1
2




  
  

1

1 
1 
−1 ⇒
=−
−2 = − 2
2 

2

2





1
1
1

1
√
=
 12 ⇒
=
 −12 =
√
√
2 

2 2 
4  
√
√ 
√ 
1




−12
−32
=

=−

⇒
=−
2

2 2
432

=





(b) Note: Illustrating tangent lines on the generic figures may help to explain the results.
(i)

 0 and  is decreasing ⇒  is increasing ⇒ higher note

(ii)

 0 and  is increasing ⇒  is increasing ⇒ higher note

(iii)

 0 and  is increasing ⇒  is decreasing ⇒ lower note

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°
¤
257
258
¤
CHAPTER 3
DIFFERENTIATION RULES
33. (a) () = 2000 + 3 + 0012 + 000023
⇒  0 () = 0 + 3(1) + 001(2) + 00002(32 ) = 3 + 002 + 000062
(b)  0 (100) = 3 + 002(100) + 00006(100)2 = 3 + 2 + 6 = $11pair.  0 (100) is the rate at which the cost is increasing as
the 100th pair of jeans is produced. It predicts the (approximate) cost of the 101st pair.
(c) The cost of manufacturing the 101st pair of jeans is
(101) − (100) = 26110702 − 2600 = 110702 ≈ $1107. This is close to the marginal cost from part (b).
34. (a) () = 84 + 016 − 00006 2 + 0000003 3
⇒  0 () = 016 − 00012 + 0000009 2 , and
 0 (100) = 016 − 00012(100) + 0000009(100)2 = 013. This is the rate at which the cost is increasing as the 100th
item is produced.
(b) The actual cost of producing the 101st item is (101) − (100) = 9713030299 − 97 ≈ $013
35. (a) () =
()

⇒ 0 () =
0 () − () · 1
0 () − ()
=
.
2

2
0 ()  0 ⇒ () is increasing; that is, the average productivity increases as the size of the workforce increases.
(b) 0 () is greater than the average productivity ⇒ 0 ()  () ⇒ 0 () 
0 () − ()  0 ⇒
36. (a)  =
40 + 2404
1 + 404
⇒ 0 ()  () ⇒
0 () − ()
 0 ⇒ 0 ()  0.
2
⇒ =
(1 + 404 )(96−06 ) − (40 + 2404 )(16−06 )

=

(1 + 404 )2
=
(b)
()

96−06 + 384−02 − 64−06 − 384−02
544−06
=
−
(1 + 404 )2
(1 + 404 )2
At low levels of brightness,  is quite large [(0) = 40] and is quickly
decreasing, that is,  is negative with large absolute value. This is to be
expected: at low levels of brightness, the eye is more sensitive to slight
changes than it is at higher levels of brightness.

37.  = ln
3 +
√

√


9 2 − 8
= ln 3 + 9 2 − 8 − ln 2 ⇒
2
√

3 + 12 (9 2 − 8)−12 (18 − 8)
1

 
√
√
=
3 + 9 2 − 8 − 0 =
2

3 + 9 − 8 
3 + 9 2 − 8
9 − 4
√
3+ √
3 9 2 − 8 + 9 − 4
9 2 − 8
√
√

.
= √
=
3 + 9 2 − 8
9 2 − 8 3 + 9 2 − 8
This derivative represents the rate of change of duration of dialysis required with respect to the initial urea concentration.
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°
SECTION 3.7
√
38.  () = 2 
RATES OF CHANGE IN THE NATURAL AND SOCIAL SCIENCES

=
⇒  0 () = 2 · 12 ()−12 ·  = √


¤
259
 0
.  () is the rate of change of the wave speed with

respect to the reproductive rate.
39.   = 
⇒  =

1

=
=
(  ). Using the Product Rule, we have

(10)(00821)
0821
1
1

=
[ () 0 () +  () 0 ()] =
[(8)(−015) + (10)(010)] ≈ −02436 Kmin.

0821
0821
40. (a) If  = 0, the population is stable (it is constant).





= 0 ⇒  = 0 1 −
(b)


⇒


=1−
0

⇒


=1−

0



.
⇒  =  1 −
0


If  = 10,000, 0 = 5% = 005, and  = 4% = 004, then  = 10,000 1 − 45 = 2000.


(c) If  = 005, then  = 10,000 1 − 55 = 0. There is no stable population.
41. (a) If the populations are stable, then the growth rates are neither positive nor negative; that is,


= 0 and
= 0.


(b) “The caribou go extinct” means that the population is zero, or mathematically,  = 0.
(c) We have the equations


=  −  and
= − +  . Let  =  = 0,  = 005,  = 0001,


 = 005, and  = 00001 to obtain 005 − 0001 = 0 (1) and −005 + 00001 = 0 (2). Adding 10 times
(2) to (1) eliminates the  ­terms and gives us 005 − 05 = 0 ⇒  = 10 . Substituting  = 10 into (1)
results in 005(10 ) − 0001(10 ) = 0 ⇔ 05 − 001 2 = 0 ⇔ 50 −  2 = 0 ⇔
 (50 −  ) = 0 ⇔  = 0 or 50. Since  = 10 ,  = 0 or 500. Thus, the population pairs (  ) that lead to
stable populations are (0 0) and (500 50). So it is possible for the two species to live in harmony.
42. (a) The rate of change of retention  days after a task is learned is given by 0 (). () =  + (1 + )−
⇒
0 () =  · (−)(1 + )−−1 ·  = −(1 + )−−1 (expressed as a fraction of memory per day).
(b) We may write the rate of change as 0 () = −

. The magnitude of this quantity decreases as  increases.
(1 + )+1
Thus, you forget how to perform a task faster soon after learning it than a long time after you have learned it.

(c) lim () = lim  +
→∞
→∞
43. (a)  = log2

2


⇒

(1 + )



=  + 0 = , so the fraction of memory that is permanent is .
[ constant] = 
1
1
2

=
·

 ln 2
2
ln 2

As  increases, the rate of change of difficulty decreases.
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°
260
¤
CHAPTER 3
(b)  = log2

DIFFERENTIATION RULES
2


⇒


[ constant] = 



1
−2
1

·
=−
· −2 −2 =
2 ln 2  2
 ln 2
2
ln 2

The negative sign indicates that difficulty decreases with increasing width. While the magnitude of the rate of change





1
1 
=
decreases
as

increases
, the rate of change itself
decreases with increasing width that is, −
 ln 2   ln 2
increases (gets closer to zero from the negative side) with increasing values of  .
(c) The answers to (a) and (b) agree with intuition. For fixed width, the difficulty of acquiring a target increases, but less and
less so, as the distance to the target increases. Similarly, for a fixed distance to a target, the difficulty of acquiring the target
decreases, but less and less so, as the width of the target increases.
3.8 Exponential Growth and Decay

1 
= 04159, so
= 04159 and by Theorem 2,
 

= 3804159 million cells. Thus,  (2) = 3804159(2)  87 million cells.
1. The relative growth rate is
 () =  (0)04159
2. (a) By Theorem 2,  () =  (0) = 50 . In 20 minutes
1
3

 
hour , there are 100 cells, so  13 = 503 = 100 ⇒
3 = 2 ⇒ 3 = ln 2 ⇒  = 3 ln 2 = ln(23 ) = ln 8.
(b)  () = 50(ln 8) = 50 · 8
(c)  (6) = 50 · 86 = 50 · 218 = 13,107,200 cells
(d)

= 

(e)  () = 106
⇒  0 (6) =  (6) = (ln 8) (6) ≈ 27,255,656 cellsh
⇔ 50 · 8 = 1,000,000 ⇔ 8 = 20,000 ⇔  ln 8 = ln 20,000 ⇔  =
3. (a) By Theorem 2,  () =  (0) = 50 . Now  (15) = 50(15) = 975
15 = ln 195 ⇒  =
1
15
ln 195 ≈ 19803. So  () ≈ 50
19803
⇒ 15 =
975
50
ln 20,000
≈ 476 h
ln 8
⇒
cells.
(b) Using 19803 for , we get  (3) = 5019803(3) = 19,01385  19,014 cells.
(c)

= 

⇒  0 (3) =  ·  (3) = 19803 · 19,014 [from parts (a) and (b)] = 37,6534  37,653 cellsh
(d)  () = 5019803 = 250,000 ⇒ 19803 =
=
250,000
50
⇒ 19803 = 5000 ⇒ 19803 = ln 5000 ⇒
ln 5000
 430 h
19803
4. (a) () = (0)
⇒ (2) = (0)2 = 400 and (6) = (0)6 = 25,600. Dividing these equations, we get
6 2 = 25,600400 ⇒ 4 = 64 ⇒ 4 = ln 26 = 6 ln 2 ⇒  =
(b) 400 = (0)2
⇒ (0) = 4002
3
2
ln 2 ≈ 10397, about 104% per hour.
3

⇒ (0) = 4003 ln 2 = 400 ln 2 = 40023 = 50.
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°
SECTION 3.8
(c) () = (0) = 50(32)(ln 2) = 50(ln 2 )(32)
EXPONENTIAL GROWTH AND DECAY
¤
261
⇒ () = 50(2)15
(d) (45) = 50(2)15(45) = 50(2)675 ≈ 5382 bacteria
(e)

=  =



3
ln 2 (50(2)675 ) [from parts (a) and (b)] ≈ 5596 bacteriah
2
(f ) () = 50,000 ⇒ 50,000 = 50(2)15
=
⇒ 1000 = (2)1.5
⇒ ln 1000 = 1.5 ln 2 ⇒
ln 1000
≈ 6.64 h
1.5 ln 2
5. (a) Let the population (in millions) in the year  be  (). Since the initial time is the year 1750, we substitute  − 1750 for  in
Theorem 2, so the exponential model gives  () =  (1750)(−1750) . Then  (1800) = 980 = 790(1800−1750)
980
790
= (50)
⇒ ln 980
= 50
790
⇒ =
1
50
⇒
ln 980
≈ 00043104. So with this model, we have
790
 (1900) = 790(1900−1750) ≈ 1508 million, and  (1950) = 790(1950−1750) ≈ 1871 million. Both of these
estimates are much too low.
(b) In this case, the exponential model gives  () =  (1850)(−1850)
ln 1650
= (50) ⇒  =
1260
1
50
⇒  (1900) = 1650 = 1260(1900−1850)
⇒
ln 1650
≈ 0005393. So with this model, we estimate
1260
 (1950) = 1260(1950−1850) ≈ 2161 million. This is still too low, but closer than the estimate of  (1950) in part (a).
(c) The exponential model gives  () =  (1900)(−1900)
ln 2560
= (50) ⇒  =
1650
1
50
⇒  (1950) = 2560 = 1650(1950−1900)
⇒
ln 2560
≈ 0008785. With this model, we estimate
1650
 (2000) = 1650(2000−1900) ≈ 3972 million. This is much too low. The discrepancy is explained by the fact that the
world birth rate (average yearly number of births per person) is about the same as always, whereas the mortality rate
(especially the infant mortality rate) is much lower, owing mostly to advances in medical science and to the wars in the first
part of the twentieth century. The exponential model assumes, among other things, that the birth and mortality rates will
remain constant.
6. (a) Let  () be the population (in millions) in the year . Since the initial time is the year 1950, we substitute  − 1950 for  in
Theorem 2, and find that the exponential model gives  () =  (1950)(−1950)
 (1960) = 100 = 83(1960−1950)
⇒
100
83
= 10
⇒ =
1
10
⇒
ln 100
≈ 00186. With this model, we estimate
83
 (1980) = 83(1980−1950) = 8330 ≈ 145 million, which is an underestimate of the actual population of 150 million.
(b) As in part (a),  () =  (1960)(−1960)
=
1
20
⇒  (1980) = 150 = 10020
⇒ 20 = ln 150
100
⇒
ln 32 ≈ 00203. Thus,  (2000) = 10040 = 225 million, which is an overestimate of the actual population
of 214 million.
(c) As in part (a),  () =  (1980)(−1980)
=
1
20
⇒  (2000) = 214 = 15020
⇒ 20 = ln 214
150
⇒
30
ln 214
≈ 256, which is an overestimate of the actual population of
150 ≈ 00178. Thus,  (2010) = 150
243 million.
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°
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¤
CHAPTER 3
DIFFERENTIATION RULES
(d) Using the model in part (c),  (2025) = 150(2025−1980) = 15045  334 million. This prediction is likely too high.
The model gave an overestimate for 2010, and the amount of overestimation is likely to compound as time increases.
7. (a) If  = [N2 O5 ] then by Theorem 2,
(b) () = −00005 = 09

= −00005

⇒ () = (0)−00005 = −00005 .
⇒ −00005 = 09 ⇒ −00005 = ln 09 ⇒  = −2000 ln 09 ≈ 211 s
8. (a) The mass remaining after  days is () = (0)  = 50 . Since the half­life is 28 days, (28) = 5028 = 25
28

=
1
2
⇒ 28 = ln
1
2
−(ln 2)28
⇒  = −(ln 2)28, so () = 50
1
(−28) ln 2 = ln 25
= 50 · 2
⇒
.
(d)
(b) (40) = 50 · 2−4028 ≈ 186 mg
(c) () = 2 ⇒ 2 = 50 · 2−28
−28
= 2−28 ⇒


1
 ln 2 ≈ 130 days
⇒  = −28 ln 25
⇒
2
50
9. (a) If () is the mass (in mg) remaining after  years, then () = (0) = 100 .
(30) = 10030 = 12 (100) ⇒ 30 =
1
2
⇒  = −(ln 2)30 ⇒ () = 100−(ln 2)30 = 100 · 2−30
(b) (100) = 100 · 2−10030 ≈ 992 mg
1
(c) 100−(ln 2)30 = 1 ⇒ −(ln 2)30 = ln 100
⇒  = −30 lnln001
2 ≈ 1993 years
10. (a) If () is the mass after  days and (0) = , then () =  .
1
ln 0643. To find the
300
(1300)(ln 0643)
1

= 12  ⇔ 300
(300) = 300 = 0643 ⇒ 300 = 0643 ⇒  =
days equal to one­half of the original mass. Hence,
1
2
300 ln
=
 471 days.
ln 0643
(b) (1300)(ln 0643) = 13  ⇔
1
300
(ln 0643)  = ln 13
⇔ =
half­life, we set the mass after 
(ln 0643)  = ln 12
⇔
300 ln 13
 746 days
ln 0643
11. Let () be the level of radioactivity. Thus, () = (0)− and  is determined by using the half­life:
(5730) = 12 (0) ⇒ (0)−(5730) = 12 (0) ⇒ −5730 =
1
2
⇒ −5730 = ln 12
If 74% of the 14 C remains, then we know that () = 074(0) ⇒ 074 = −(ln 2)5730
=−
⇒ =−
ln 12
ln 2
=
.
5730
5730
⇒ ln 074 = −
 ln 2
5730
5730(ln 074)
≈ 2489 ≈ 2500 years.
ln 2
12. From Exercise 11, we have the model () = (0)− with  = (ln 2)5730. Thus,
(68,000,000) = (0)−68000000 ≈ (0) · 0 = 0. There would be an undetectable amount of 14 C remaining for a
68­million­year­old dinosaur.
Now let () = 01% (0), so 0001(0) = (0)−
=
⇒ 0001 = −
⇒ ln 0001 = − ⇒
ln 0001
ln 0001
=
≈ 57,104, which is the maximum age of a fossil that we could date using 14 C.
−
−(ln 2)5730
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°
⇒
SECTION 3.8
EXPONENTIAL GROWTH AND DECAY
13. Let  measure time since a dinosaur died in millions of years, and let () be the amount of
40
¤
263
K in the dinosaur’s bones at
time . Then () = (0)− and  is determined by the half­life: (1250) = 12 (0) ⇒ (0)−(1250) = 12 (0) ⇒
−1250 =
1
2
⇒ −1250 = ln 12
⇒ =−
ln 12
ln 2
=
. To determine if a dinosaur dating of 68 million years is
1250
1250
possible, we find that (68) = (0)−(68) ≈ 0963(0), indicating that about 96% of the 40 K is remaining, which is
clearly detectable. To determine the maximum age of a fossil by using 40 K, we solve () = 01%(0) for .
(0)− = 0001(0) ⇔ − = 0001 ⇔ − = ln 0001 ⇔  =
ln 0001
≈ 12,457 million, or
−(ln 2)1250
12457 billion years.
14. From the information given, we know that
5 = 2(0)

= 2

⇒  = 2 by Theorem 2. To calculate  we use the point (0 5):
⇒  = 5. Thus, the equation of the curve is  = 52 .
15. (a) Using Newton’s Law of Cooling,


= ( −  ), we have
= ( − 75). Now let  =  − 75, so


(0) =  (0) − 75 = 185 − 75 = 110, so  is a solution of the initial­value problem  =  with (0) = 110 and by
Theorem 2 we have () = (0) = 110 .
(30) = 11030 = 150 − 75 ⇒ 30 =
45
75
110
=
15
22
⇒ =
1
15
ln 15
, so () = 110 30  ln( 22 ) and
22
1
30
15
(45) = 110 30 ln( 22 ) ≈ 62◦ F. Thus,  (45) ≈ 62 + 75 = 137◦ F.
1
15
1
15
(b)  () = 100 ⇒ () = 25. () = 110 30  ln( 22 ) = 25 ⇒  30  ln( 22 ) =
=
25
110
⇒
1
 ln 15
30
22
25
= ln 110
⇒
25
30 ln 110
≈ 116 min.
15
ln 22
16. Let  () be the temperature of the body  hours after 1:30 PM . Then  (0) = 325 and  (1) = 303. Using Newton’s Law of
Cooling,


= ( −  ), we have
= ( − 20). Now let  =  − 20, so (0) =  (0) − 20 = 325 − 20 = 125,


so  is a solution to the initial value problem  =  with (0) = 125 and by Theorem 2 we have
() = (0) = 125 .
(1) = 303 − 20 ⇒ 103 = 125(1)
⇒  =
() = 37 − 20 ⇒ 12.5 = 17 ⇒  =
17
12.5
103
12.5
⇒  = ln 103
. The murder occurred when
12.5
17
⇒  = ln 12.5
 17 
 ln 103
⇒  = ln 12.5
≈ −1588 h
12.5
≈ −95 minutes. Thus, the murder took place about 95 minutes before 1:30 PM, or 11:55 AM.
17.


= ( − 20). Letting  =  − 20, we get
= , so () = (0) . (0) =  (0) − 20 = 5 − 20 = −15, so


(25) = (0)25 = −1525 , and (25) =  (25) − 20 = 10 − 20 = −10, so −1525 = −10 ⇒ 25 = 23 . Thus,
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°
264
¤
CHAPTER 3
DIFFERENTIATION RULES
 
25 = ln 23 and  =
 =
 2 25
3
1
25
 
ln 23 , so () = (0) = −15(125) ln(23) . More simply, 25 =
⇒ () = −15 ·
 2 25
3
(a)  (50) = 20 + (50) = 20 − 15 ·
3
= 20 − 15 ·
 2 25
3
⇒ 15 ·
 2 2
3
= 20 −
 2 25
3
20
3
 2 125
3
= 133̄ ◦ C
=5 ⇒
 
   
 
⇒  = 25 ln 13 ln 23 ≈ 6774 min.
(25) ln 23 = ln 13
18.
⇒  =
.
 2 5025
(b) 15 =  () = 20 + () = 20 − 15 ·
2
3
 2 25
3
=
1
3
⇒


= ( − 20). Let  =  − 20. Then
= , so () = (0)  (0) =  (0) − 20 = 95 − 20 = 75,


so () = 75 . When  () = 70,


= −1◦ Cmin. Equivalently,
= −1 when () = 50. Thus,



= () = 50 and 50 = () = 75 . The first relation implies  = −150, so the second relation says

 
 
50 = 75−50 . Thus, −50 = 23 ⇒ −50 = ln 23
⇒  = −50 ln 23 ≈ 2027 min.
−1 =
19. (a) Let  () be the pressure at altitude . Then  = 
⇒  () =  (0) = 1013 .


⇒ =
 (1000) = 10131000 = 8714 ⇒ 1000 = ln 8714
1013
1
8714
1
1000
8714
 () = 1013  1000  ln( 1013 ) , so  (3000) = 10133 ln( 1013 ) ≈ 645 kPa.
6187
ln
 8714 
1013
⇒
8714
(b)  (6187) = 1013  1000 ln( 1013 ) ≈ 399 kPa

20. (a) Using  = 0 1 +
 
with 0 = 2500,  = 0045, and  = 3, we have:

(i) Annually:  = 1
(ii) Quarterly:  = 4
(iii) Monthly:  = 12
(iv) Weekly:  = 52
(v) Daily:  = 365
(vi) Hourly:  = 365 · 24
(vii) Continuously:
1·3

0045
= $285292
 = 2500 1 +
1

4·3
0045
= $285919
 = 2500 1 +
4
12·3

0045
= $286062
 = 2500 1 +
12
52·3

0045
= $286117
 = 2500 1 +
52
365·3

0045
= $286132
 = 2500 1 +
365

365·24·3
0045
= $286134
 = 2500 1 +
365 · 24
3
 = 2500(0045) = $286134
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°
⇒
APPLIED PROJECT CONTROLLING RED BLOOD CELL LOSS DURING SURGERY
¤
(b)

21. (a) Using  = 0 1 +
 
with 0 = 4000,  = 00175, and  = 5, we have:

(i) Annually:  = 1
(ii) Semiannually:  = 2
(iii) Monthly:  = 12
(iv) Weekly:  = 52
(v) Daily:  = 365
(vi) Continuously:

1·5
00175
= $436247
 = 4000 1 +
1
2·5

00175
= $436411
 = 4000 1 +
2
12·5

00175
= $436549
 = 4000 1 +
12

52·5
00175
= $436570
 = 4000 1 +
52
365·5

00175
= $436576
 = 4000 1 +
365
 = 4000(00175)5 = $436577
(b)  = 00175 and (0) = 4000.
22. (a) 0 003 = 20
⇔ 003 = 2 ⇔ 003 = ln 2 ⇔  =
100
3
ln 2 ≈ 2310, so the investment will double in
about 2310 years.
(b) The annual interest rate in  = 0 (1 + ) is . From part (a), we have  = 0 003 . These amounts must be equal,
so (1 + ) = 003
⇒ 1 +  = 003
⇒  = 003 − 1 ≈ 00305 = 305%, which is the equivalent annual
interest rate.
APPLIED PROJECT Controlling Red Blood Cell Loss During Surgery
1. Let () be the volume of RBCs (in liters) at time  (in hours). Since the total volume of blood is 5 L, the concentration of
RBCs is 5. The patient bleeds 2 L of blood in 4 hours, so
2 
1

=−
·
=− 

4 5
10
From Section 3.8, we know that  =  has solution () = (0) . In this case, (0) = 45% of 5 =
9
4
1
, so () = 94 −10 . At the end of the operation, the volume of RBCs is (4) = 94 −04 ≈ 151 L.
 = − 10
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°
and
265
266
¤
CHAPTER 3
DIFFERENTIATION RULES
2. Let  be the volume of blood that is extracted and replaced with saline solution. Let  () be the volume of RBCs with the
ANH procedure. Then  (0) is 45% of (5 −  ), or
 (4) ≥ 25% of 5 ⇔
9
(5
20
−  )−04 ≥
5
4
9
20 (5
−  ), and hence  () =
⇔ 5− ≥
25 04

9
9
20 (5
⇔  ≤5−
−  )−10 . We want
25 04

9
≈ 086 L. To maximize the
effect of the ANH procedure, the surgeon should remove 086 L of blood and replace it with saline solution.
3. The RBC loss without the ANH procedure is (0) − (4) =
 (0) −  (4) =
9
20 (5
−)−
9
20 (5


9
get  (0) −  (4) = 20
5− 5−
−  )−04 =
9
20 (5

25 04
(1 − 04 ) =

9
9
4
− 94 −04 ≈ 074 L. The RBC loss with the ANH procedure is
−  )(1 − −04 ). Now let  = 5 −
9
20
·
25 04
 (1
9
25 04
9 
[from Problem 2] to
− 04 ) = 54 (04 − 1) ≈ 061 L. Thus, the ANH
procedure reduces the RBC loss by about 074 − 061 = 013 L (about 44 fluid ounces).
3.9 Related Rates
1. (a)  = 3
(b) With


= 4 cms and  = 15 cm, we have
= 3(15)2 · 4 = 2700 cm3s.


2. (a)  = 2
(b) With
 


=
= 32

 

⇒
 


=
= 2

 

⇒


= 2 ms and  = 30 m, we have
= 2 · 30 · 2 = 120 m2s.


3. Let  denote the side of a square. The square’s area  is given by  = 2 . Differentiating with respect to  gives us




= 2 . When  = 16,  = 4. Substituting 4 for  and 6 for
gives us
= 2(4)(6) = 48 cm2s.




4.  =
3
4
3 
5.  = 42
6.  = 


= 43  · 32


⇒
⇒
⇒


= 4 · 2


⇒

2

= 4 12 · 80 (4) = 25,600 mm3s.


= 4 · 2 · 8 · 2 = 128 cm2min.




=·
+·
= 20(3) + 10(8) = 140 cm2s.



7.  = 2  = (5)2  = 25
8. (a)  =
⇒
1
2  sin 
⇒
⇒


= 25


⇒ 3 = 25


⇒

3
=
mmin.

25

 



= 12  cos 
= 12 (2)(3) cos 3 (02) = 3 12 (02) = 03 cm2min.


(b)  = 12  sin  ⇒






 
1



=   cos 
+ sin 
= 12 (2) 3 cos 3 (02) + sin 3 (15)

2


√  
√
 
= 3 12 (02) + 12 3 32 = 03 + 34 3 cm2 /min [≈ 16]
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.9
RELATED RATES
¤
267
(c)  = 12  sin  ⇒


1 



=
 sin  + 
sin  +  cos 
[by Exercise 3.2.63(a)]

2 



 √ 

 √ 
 
= 12 (25)(3) 12 3 + (2)(15) 12 3 + (2)(3) 12 (02)
√
  √

 √
3 + 34 3 + 03 = 21
3 + 03 cm2min [≈ 485]
= 15
8
8
Note how this answer relates to the answer in part (a) [ changing] and part (b) [ and  changing].
9. (a)






(42 + 9 2 ) =
(25) ⇒ 8
+ 18
= 0 ⇒ 4
+ 9
=0 ⇒






4(2)
(b) 4
10.

+ 9(1) ·

1
3
=0 ⇒ 8

+3 =0 ⇒





+ 9
= 0 ⇒ 4(−2)(3) + 9(1) ·
= 0 ⇒ −24 + 9
=0 ⇒





24
8
=
=

9
3







 2
( +  2 +  2 ) =
(9) ⇒ 2
+ 2
+ 2
=0 ⇒ 
+
+
= 0.








If



= 5,
= 4 and (  ) = (2 2 1), then 2(5) + 2(4) + 1
=0 ⇒



11.  = 0

3960
3960 + 
2
= 0 · 39602 (3960 + )−2
 = 40 mi, and  = 12 mis ⇒
12.

3
=−

8
⇒

= −18.



= 0 · 39602 (−2)(3960 + )−3 ·
. Then 0 = 130 lb,



= 130 · 39602 (−2)(3960 + 40)−3 (12) = −0764478 ≈ −07645 lbs.







() =
(8) ⇒ 
+
= 0. If
= −3 cms and ( ) = (4 2), then 4(−3) + 2
=0 ⇒







= 6. Thus, the ­coordinate is increasing at a rate of 6 cms.

13. (a) Given: a plane flying horizontally at an altitude of 1 mi and a speed of 500 mih passes directly over a radar station.
If we let  be time (in hours) and  be the horizontal distance traveled by the plane (in mi), then we are given
that  = 500 mih.
(b) Unknown: the rate at which the distance from the plane to the station is increasing
(c)
when it is 2 mi from the station. If we let  be the distance from the plane to the station,
then we want to find  when  = 2 mi.
(d) By the Pythagorean Theorem,  2 = 2 + 1 ⇒ 2 () = 2 ().
√
√
√

 


3
2
2
(e)
=
= (500). Since  =  + 1, when  = 2,  = 3, so
=
(500) = 250 3 ≈ 433 mih.

 


2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
268
¤
CHAPTER 3
DIFFERENTIATION RULES
14. (a) Given: the rate of decrease of the surface area is 1 cm2min. If we let  be
(c)
time (in minutes) and  be the surface area (in cm ), then we are given that
2
 = −1 cm2s.
(b) Unknown: the rate of decrease of the diameter when the diameter is 10 cm.
If we let  be the diameter, then we want to find  when  = 10 cm.
(d) If the radius is  and the diameter  = 2, then  = 12  and
 = 42 = 4
(e) −1 =
 1 2
= 2
2


= 2


⇒
⇒
 


=
= 2
.

 


1

1
1
=−
. When  = 10,
=−
. So the rate of decrease is
cmmin.

2

20
20
15. (a) Given: a man 6 ft tall walks away from a street light mounted on a 15­ft­tall pole at a rate of 5 fts. If we let  be time (in s)
and  be the distance from the pole to the man (in ft), then we are given that  = 5 fts.
(b) Unknown: the rate at which the tip of his shadow is moving when he is 40 ft
(c)
from the pole. If we let  be the distance from the man to the tip of his
shadow (in ft), then we want to find
(d) By similar triangles,
+
15
=
6


( + ) when  = 40 ft.

⇒ 15 = 6 + 6
(e) The tip of the shadow moves at a rate of
⇒ 9 = 6 ⇒  = 23 .



5 

2
( + ) =
= 53 (5) =
+  =


3
3 
25
3
fts.
16. (a) Given: at noon, ship A is 150 km west of ship B; ship A is sailing east at 35 kmh, and ship B is sailing north at 25 kmh.
If we let  be time (in hours),  be the distance traveled by ship A (in km), and  be the distance traveled by ship B (in km),
then we are given that  = 35 kmh and  = 25 kmh.
(b) Unknown: the rate at which the distance between the ships is changing at
(c)
4:00 PM. If we let  be the distance between the ships, then we want to find
 when  = 4 h.
(d)  = (150 − ) + 
2
2
2





= 2(150 − ) −
+ 2
⇒ 2




√
(e) At 4:00 PM,  = 4(35) = 140 and  = 4(25) = 100 ⇒  = (150 − 140)2 + 1002 = 10,100.



1

215

−10(35) + 100(25)
√
So
=
+
= √
≈ 214 kmh.
( − 150)
=




10,100
101
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.9
We are given that
17.


= 60 mih and
= 25 mih.  2 = 2 +  2


RELATED RATES
¤
269
⇒



1


⇒
=
+

.




√
After 2 hours,  = 2 (60) = 120 and  = 2 (25) = 50 ⇒  = 1202 + 502 = 130,


120(60) + 50(25)

1


so
=

+
=
= 65 mih.




130



= 2
+ 2
2



We are given that
18.



⇒ 
=
+




2

= 16 ms. By similar triangles,
=

12

⇒ =
24

⇒
24 
24
24(16)


=− 2
= − 2 (16). When  = 8,
=−
= −06 ms, so the shadow

 


64
is decreasing at a rate of 06 ms.


= 4 fts and
= 5 fts.  2 = ( + )2 + 5002 ⇒





 
2
= 2( + )
+
. 15 minutes after the woman starts, we have



We are given that
19.
 = (4 fts)(20 min)(60 smin) = 4800 ft and  = 5 · 15 · 60 = 4500 ⇒

√
 = (4800 + 4500)2 + 5002 = 86,740,000, so


 +   
4800 + 4500
837

=
+
= √
(4 + 5) = √
≈ 899 fts




86,740,000
8674
20. We are given that

= 24 fts.





= 2(90 − ) −
. When  = 45,




√
√
90 − 

45

24
2
2
√ (−24) = − √ ,
=
−
=
 = 45 + 90 = 45 5, so



45 5
5
 2 = (90 − )2 + 902
(a)
⇒ 2
so the distance from second base is decreasing at a rate of
24
√
5
≈ 107 fts.
(b) Due to the symmetric nature of the problem in part (a), we expect to get the same answer — and we do.
 2 = 2 + 902
21.  =
1
,
2
⇒ 2
√

45


24
√ (24) = √ ≈ 107 fts.
= 2
. When  = 45,  = 45 5, so
=



45 5
5
where  is the base and  is the altitude. We are given that


= 1 cmmin and
= 2 cm2 min. Using the




1



=

+
. When  = 10 and  = 100, we have 100 = 12 (10) ⇒

2





4 − 20
1


⇒
=
= −16 cmmin.
 = 20, so 2 =
20 · 1 + 10
⇒ 4 = 20 + 10
2



10
Product Rule, we have
1

2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
= 10 ⇒
270
¤
CHAPTER 3
DIFFERENTIATION RULES




= −1 ms, find
when  = 8 m.  2 = 2 + 1 ⇒ 2
= 2
⇒




√
√
 



65
=
= − . When  = 8,  = 65, so
=−
. Thus, the boat approaches

 


8
√
65
≈ 101 ms.
the dock at
8
Given
22.
23. Let  be the distance (in meters) the first dropped stone has traveled, and let  be the distance (in meters) the stone dropped
one second later has traveled. Let  be the time (in seconds) since the woman drops the second stone. Using  = 492 ,
we have  = 49( + 1)2 and  = 492 . Let  be the distance between the stones. Then  =  −  and we have
 

=
−



⇒

= 98( + 1) − 98 = 98 ms.

24. Given: Two men 10 m apart each drop a stone, the second one, one minute after
the first. Let  be the distance (in meters) the first dropped stone has traveled, and
let  be the distance (in meters) the second stone has traveled. Let  be the time
(in seconds) since the man drops the second stone. Using  = 492 , we have
 = 49( + 1)2 and  = 492 . Let  be the vertical distance between the stones. Then  =  − 
 

=
−



⇒
⇒

= 98( + 1) − 98 = 98 ms.

By the Pythagorean Theorem, 2 = 102 +  2 . Differentiating with respect to , we obtain
2


= 2


⇒

 ()
=
. One second after the second stone is dropped,  = 1, so


 =  −  = 49(1 + 1)2 − 49(1)2 = 147 m, and  =

√
147 (98)

= √
102 + (147)2 = 31609, so
 810 ms.

31609

=  − 10,000, where


1

 = 13 2  is the volume at time . By similar triangles, =
⇒ =  ⇒
2
6
3





2
 3
= 2
. When  = 200 cm,
 ⇒
 = 13  13   = 27

9

25. If  = the rate at which water is pumped in, then

800,000

= 20 cmmin, so  − 10,000 = (200)2 (20) ⇒  = 10,000 +
 ≈ 289,253 cm3min.

9
9
26. The distance  of the particle to the origin is given by  =

2 +  2 , so  2 = 2 + [2 sin(2)]2
⇒
 
    
 
   




= 2
+ 4 · 2 sin  cos  ·
⇒ 
=
+ 2 sin  cos 
. When


2
2
2 


2
2

 



2
1√
1√
 √
1 √ 

10
1
1
( ) =
1 ,  =
=
=
cos · 10 ⇒
+ 12 =
10, so
10
10 + 2 sin
3
3
9
3
3

3
6
6
2
 

1
1
1 
1√
= + 2
3
⇒
3 
3
2
2
√
3 3

=1+
cms.

2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.9
RELATED RATES
The figure is labeled in meters. The area  of a trapezoid is
27.
1
2 (base1
+ base2 )(height), and the volume  of the 10­meter­long trough is 10.
Thus, the volume of the trapezoid with height  is  = (10) 12 [03 + (03 + 2)].
By similar triangles,
Now
025
1

=
= , so 2 =  ⇒  = 5(06 + ) = 3 + 52 .

05
2
 

=

 
⇒
02 = (3 + 10)


⇒

02
=
. When  = 03,

3 + 10

02
02
1
10
=
=
mmin =
mmin or
cmmin.

3 + 10(03)
6
30
3
28. By similar triangles,

3
= , so  = 3. The trough has volume
1

 = 12 (10) = 5(3) = 152
⇒ 12 =


= 30


⇒

2
=
.

5
2

4
=
ftmin.
1 =

5
5· 2
When  = 12 ,
29. We are given that
 2


1
1
3
= 30 ft3 min.  = 2  = 
=

3
3
2
12
2 
4 
 

=

 
⇒ 30 =
When  = 10 ft,
120
6

= 2 =
≈ 038 ftmin.

10 
5
⇒
⇒

120
=
.

2
30. The figure is drawn without the top 3 feet.
 = 12 ( + 12)(20) = 10( + 12) and, from similar triangles,
6

16
8
8
11

= and =
= , so  =  + 12 +  =  + 12 +
= 12 +
.

6

6
3
3
3




1102

220
11

 = 240 +
and so 08 =
= 240 +

.
Thus,  = 10 24 +
3
3

3

When  = 5,
08
3

=
=
≈ 000132 ftmin.

240 + 5(2203)
2275
31. The area  of an equilateral triangle with side  is given by  =
1
4
√ 2
3 .
√
√
√


= 14 3 · 2
= 14 3 · 2(30)(10) = 150 3 cm2min.


32. We are given  = 8 fts. cot  =


= −100 csc2 


⇒

100
⇒  = 100 cot 
⇒

sin2 
100
1
=−
· 8. When  = 200, sin  =
=

100
200
2
(12)2
1

=−
·8=−
rads. The angle is decreasing at a rate of

100
50
1
50
⇒
rads.
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°
¤
271
272
¤
CHAPTER 3
DIFFERENTIATION RULES
Let  be the time, in seconds, after the drone passes directly over the car. Given
33.



= 20 ms,  = 20 m,
= 6 ms, and  = 6 m, find
when  = 5.



By the Pythagorean Theorem, 2 = 2 +  2 and  2 = 252 + 2 . This gives
 2 = 252 + 2 +  2 ⇒



2
= 2
+ 2
⇒




 () +  ()
=


When  = 5,  = 20(5) = 100 and  = 6(5) = 30, so  2 = 252 + 1002 + 302
⇒ =
√
11,525 m.
100(20) + 30(6)

√
=
 203 ms.

11,525
34. The area  of a sector of a circle with radius  and angle  is given by  =
1 2
 .
2
Here  is constant and  varies, so
1 


= 2
. The minute hand rotates through 360◦ = 2 radians each hour, so
= 2 and

2 

1

= 2 (2) = 2 cm2h. This answer makes sense because the minute hand sweeps through the full area of a circle,

2
2 , each hour.
35. cos  =

10
⇒ − sin 

1 
=
. From Example 2,

10 
8

= 4 and when  = 6,  = 8, so sin  =
.

10
Thus, −
1
8 
=
(4) ⇒
10 
10

1
= − rads.

2
36. According to the model in Example 2,
 

=−
→ −∞ as  → 0, which doesn’t make physical sense. For example, the

 
model predicts that for sufficiently small , the tip of the ladder moves at a speed greater than the speed of light. Therefore the
model is not appropriate for small values of . What actually happens is that the tip of the ladder leaves the wall at some point
in its descent. For a discussion of the true situation see the article “The Falling Ladder Paradox” by Paul Scholten and Andrew
Simoson in The College Mathematics Journal, 27, (1), January 1996, pages 49–54. Also see “On Mathematical and Physical
Ladders” by M. Freeman and P. Palffy­Muhoray in the American Journal of Physics, 53 (3), March 1985, pages 276–277.
37. Differentiating both sides of   =  with respect to  and using the Product Rule gives us 


+
=0 ⇒


 


600

=−
. When  = 600,  = 150 and
= 20, so we have
=−
(20) = −80. Thus, the volume is

 


150
decreasing at a rate of 80 cm3min.
38. The volume of a hemisphere is 23 3 , so the volume of a hemispherical basin of radius 30 cm is 23 (30)3 = 18,000 cm3 .




⇒ 9000 =  302 − 13 3
⇒
If the basin is half full, then  =  2 − 13 3
1 3
3
− 302 + 9000 = 0 ⇒
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.9
RELATED RATES
¤
273
 =  ≈ 1958 [from a graph or numerical rootfinder; the other two solutions are less than 0 and greater than 30].








L
cm3



=  60
− 2
⇒
2
1000
= (60 − 2 )
⇒
 =  302 − 13 3
⇒



min
L

2000

=
≈ 0804 cmmin.

(60 −  2 )
1
1
180
9
400
1
1
1
1
1
1
=
+
=
=
, so  =
. Differentiating
=
+
=
+

1
2
80 100
8000
400
9

1
2


1 1
1 2

1 2
1 
1 1
=− 2
− 2
⇒
= 2
+
. When 1 = 80 and
with respect to , we have − 2
 
1 
2 

12 
22 


4002 1

1
107
= 2
≈ 0132 Ωs.
2 = 100,
(03)
+
(02)
=

9
802
1002
810
39. With 1 = 80 and 2 = 100,
40.   14 = 
⇒  · 14 04
When  = 400,  = 80 and
rate of
250
7


+  14
=0 ⇒



 14
 

=−
=−
.

 · 14 04 
14 


400
250
= −10, so we have
=−
(−10) =
. Thus, the volume is increasing at a


14(80)
7
≈ 36 cm3min.
We are given that
41.


= 40 mih and
= 60 mih. By the Law of Cosines,


 2 = 2 +  2 − 2 cos 60◦ = 2 +  2 − 
⇒ 2





= 2
+ 2
−
−
.





 
 
h, we have  = 40 12 = 20 and  = 60 12 = 30 ⇒
√
 2 = 202 + 302 − 20(30) = 700 ⇒  = 700 and
At  =
1
2

2(20)(40) + 2(30)(60) − 20(60) − 30(40)
2800
√
=
= √
 529 mih.

2 700
2 700
42. We want to find

when  = 18 using  = 0007 23 and  = 012253 .




   

20 − 15
=
= 0007 · 23  −13 (012 · 253 · 153 )

  
10,000,000




 5
≈ 1045 × 10−8 gyr
= 0007 · 23 (012 · 18 253 )−13 012 · 253 · 18153
107
43. We are given  = 2◦min =
2
2
2

90
radmin. By the Law of Cosines,
 = 12 + 15 − 2(12)(15) cos  = 369 − 360 cos 
2


= 360 sin 


=
⇒
⇒

180 sin  
=
. When  = 60◦ ,



√
√
√
√
√
180 sin 60◦ 
 3

7
√
=
= √ =
≈ 0396 mmin.
369 − 360 cos 60◦ = 189 = 3 21, so

21
3 21 90
3 21
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°
274
¤
CHAPTER 3
DIFFERENTIATION RULES


= −2 fts and need to find
when  = −5.



√
Using the Pythagorean Theorem twice, we have 2 + 122 +  2 + 122 = 39,
44. Using  for the origin, we are given
the total length of the rope. Differentiating with respect to , we get

  2 + 122 





√
+
= 0, so
=− √
.

2 + 122 
 2 + 122 
 2 + 122 
Now when  = −5, 39 =
=



(−5)2 + 122 +  2 + 122 = 13 +  2 + 122
⇔

 2 + 122 = 26, and
√
√
(−5)(26)

10
= −√
262 − 122 = 532. So when  = −5,
(−2) = − √
≈ −087 fts.

532 (13)
133
So cart  is moving towards  at about 087 fts.
45. (a) By the Pythagorean Theorem, 40002 +  2 = 2 . Differentiating with respect to ,



= 2 . We know that
= 600 fts, so when  = 3000 ft,



√
√
 = 40002 + 30002 = 25,000,000 = 5000 ft
we obtain 2
and
 
3000
1800

=
=
(600) =
= 360 fts.

 
5000
5
(b) Here tan  =

4000
⇒

  
(tan ) =

 4000
⇒
sec2 
46. We are given that

= 4(2) = 8 radmin.  = 3 tan 


cos2  
=
. When

4000 
⇒
 2


= 3 sec2  . When  = 1, tan  = 13 , so sec2  = 1 + 13 =


 

= 3 10
(8) =
9

80

3
10
9
≈ 838 kmmin.

1 
 2   1 


−
⇒ − csc2 
=
⇒ − csc
=
5

5 
3
6
5 
2

5 2
10

√
=
 kmmin [≈ 130 mih]
=

6
9
3
47. cot  =
48. We are given that
⇒
2 rad

=
=  radmin By the Pythagorean Theorem, when

2 min
 = 6,  = 8, so sin  =
 = 10 sin , so
⇒
4000
4000
4

(45)2

= 600 fts,  = 5000 and cos  =
=
= , so
=
(600) = 0096 rads.


5000
5

4000
 = 3000 ft,
and
1 

=

4000 
6
10
and cos  =
8
10 .
From the figure, sin  =
 

8

= 10 cos 
= 10
 = 8 mmin.


10

10
⇒
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.9
RELATED RATES
¤
275

= 300 kmh. By the Law of Cosines,

 
 2 = 2 + 12 − 2(1)() cos 120◦ = 2 + 1 − 2 − 12 = 2 +  + 1, so
49. We are given that
2
 

= 2
+



=
⇒

2 + 1 
=
. After 1 minute,  =

2 
√
√
52 + 5 + 1 = 31 km ⇒
300
60
= 5 km ⇒
2(5) + 1

1650
√
=
(300) = √
≈ 296 kmh.

2 31
31


= 3 mih and
= 2 mih. By the Law of Cosines,


√
 2 = 2 +  2 − 2 cos 45◦ = 2 +  2 − 2  ⇒
50. We are given that
2


 √

 √

= 2
+ 2
− 2
− 2
. After 15 minutes =





we have  =
3
4
and  =
2
4
=
1
2
2
⇒  =
 3 2
4
+
 2 2
4
1
4

h ,
√   
⇒ =
− 2 34 24

√
13 − 6 2
and
4
√ 3
√ 1 
1
 3
2
2
13 − 6

= 
√ 2 4 3+2 2 2− 2 4 2− 2 2 3 = 
√

2
13 − 6 2
13 − 6 2
√
2
=

√
13 − 6 2 ≈ 2125 mih.
51. Let the distance between the runner and the friend be . Then by the Law of Cosines,
 2 = 2002 + 1002 − 2 · 200 · 100 · cos  = 50,000 − 40,000 cos  (). Differentiating
implicitly with respect to , we obtain 2


= −40,000(− sin ) . Now if  is the


distance run when the angle is  radians, then by the formula for the length of an arc
on a circle,  = , we have  = 100, so  =
1

100
⇒

1 
7
=
=
. To substitute into the expression for

100 
100

, we must know sin  at the time when  = 200, which we find from (): 2002 = 50,000 − 40,000 cos 


√
√ 

 2

7
= 40,000 415 100
⇒
cos  = 14 ⇒ sin  = 1 − 14 = 415 . Substituting, we get 2(200)

 =
7
√
15
4
⇔
≈ 678 ms. Whether the distance between them is increasing or decreasing depends on the direction in which
the runner is running.
52. The hour hand of a clock goes around once every 12 hours or, in radians per hour,
2
12
=

6
radh. The minute hand goes around once an hour, or at the rate of 2 radh.
So the angle  between them (measuring clockwise from the minute hand to the hour
hand) is changing at the rate of  =

6
− 2 = − 11
radh. Now, to relate  to ,
6
we use the Law of Cosines:  2 = 42 + 82 − 2 · 4 · 8 · cos  = 80 − 64 cos  ().
Differentiating implicitly with respect to , we get 2


= −64(− sin ) . At 1:00, the angle between the two hands is


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°
276
¤
CHAPTER 3 DIFFERENTIATION RULES

√

radians. We use () to find  at 1:00:  = 80 − 64 cos 6 = 80 − 32 3.

 


64 1 − 11

88

11

6
= 64 sin
= 2
Substituting, we get 2
−
⇒
√ =− 
√ ≈ −186.

6
6

2 80 − 32 3
3 80 − 32 3
one­twelfth of the circle, that is,
2
12
=

6
So at 1:00, the distance between the tips of the hands is decreasing at a rate of 186 mmh ≈ 0005 mms.
53. The volume of the snowball is given by  =
4
4 3



 , so
=  · 32
= 42
. Since the volume is proportional to
3

3


the surface area , with  = 42 , we also have
gives 42

=  · 42

⇒


=  · 42 for some constant . Equating the two expressions for



= , that is,  is constant.

3.10 Linear Approximations and Differentials
1.  () = 3 − 2 + 3
⇒  0 () = 32 − 2, so  (−2) = −9 and  0 (−2) = 16. Thus,
() =  (−2) +  0 (−2)( − (−2)) = −9 + 16( + 2) = 16 + 23.
⇒  0 () = 33 , so  (0) = 1 and  0 (0) = 3. Thus, () = (0) +  0 (0)( − 0) = 1 + 3( − 0) = 3 + 1.
2.  () = 3
3.  () =
√
3
 ⇒  0 () =
1
1
√
. Thus,
, so  (8) = 2 and  0 (8) =
3
12
3 2
() =  (8) +  0 (8)( − 8) = 2 +
4.  () = cos 2
() = 
5.  () =

6
1
(
12
− 8) =
⇒  0 () = −2 sin 2, so 
+ 0
  

 − 6 =
6
√
1 −  ⇒  0 () =
2
1
2
−
1

12

6
=
+ 43 .
1
2
and  0

6
√
= − 3. Thus,
√
√ 
√

3  − 6 = − 3  + ( 3 )6 + 12 .
−1
√
, so  (0) = 1 and  0 (0) = − 12 .
1−
Therefore,
 
√
1 −  =  () ≈ (0) +  0 (0)( − 0) = 1 + − 12 ( − 0) = 1 − 12 .
So
√
√
09 = 1 − 01 ≈ 1 − 12 (01) = 095
and
√
√
099 = 1 − 001 ≈ 1 − 12 (001) = 0995.
6. () =
√
3
1 +  = (1 + )13
 0 (0) = 13 . Therefore,
So
⇒  0 () = 13 (1 + )−23 , so (0) = 1 and
√
3
1 +  = () ≈ (0) +  0 (0)( − 0) = 1 + 13 .

√
3
095 = 3 1 + (−005) ≈ 1 + 13 (−005) = 0983,
and
√
√
3
11 = 3 1 + 01 ≈ 1 + 13 (01) = 103.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.10 LINEAR APPROXIMATIONS AND DIFFERENTIALS
7.  () = tan−1 
⇒  0 () =
¤
277
1
, so (0) = 0 and  0 (0) = 1.
1 + 2
Thus, ()   (0) +  0 (0)( − 0) = . We need
tan−1  − 01    tan−1  + 01, which is true when −0732    0732.
Note that to ensure the accuracy, we have rounded the smaller value up and the
larger value down.
8.  () = (1 + )−3
⇒  0 () = −3(1 + )−4 , so  (0) = 1 and
 0 (0) = −3. Thus,  () ≈  (0) +  0 (0)( − 0) = 1 − 3. We need
(1 + )−3 − 01  1 − 3  (1 + )−3 + 01, which is true when
−0116    0144. Note that to ensure the accuracy, we have rounded the
smaller value up and the larger value down.
9.  () =
√
4
1 + 2 ⇒  0 () = 14 (1 + 2)−34 (2) = 12 (1 + 2)−34 , so
 (0) = 1 and  0 (0) = 12 . Thus,  () ≈  (0) +  0 (0)( − 0) = 1 + 12 .
We need
√
√
4
1 + 2 − 01  1 + 12   4 1 + 2 + 01, which is true when
−0368    0677. Note that to ensure the accuracy, we have rounded the
smaller value up and the larger value down.
10.  () =
2
1 + 
⇒  0 () = −
2
1
, so  (0) = 1 and  0 (0) = − .
2
(1 +  )2
Thus, ()   (0) +  0 (0)( − 0) = 1 − 12 . We need
2
1
2
− 01  1 −  
+ 01, which is true when
1 + 
2
1 + 
−1423    1423. Note that to ensure the accuracy, we have rounded the
smaller value up and the larger value down.
11. The differential  is defined in terms of  by the equation  =  0 () . For  =  () = 5 ,  0 () = 55 , so
 = 55 .
12. For  = () =
13. For  = () =
√
23
23
1 − 4 ,  0 () = 12 (1 − 4 )−12 (−43 ) = − √
, so  = − √
.
4
1−
1 − 4
1 + 2 0
(1 + 3)(2) − (1 + 2)(3)
−1
−1
,  () =
=
, so  =
.
1 + 3
(1 + 3)2
(1 + 3)2
(1 + 3)2
14. For  = () = 2 sin 2,  0 () =  2 (cos 2)(2) + (sin 2)(2), so  = 2( cos 2 + sin 2) .
15. For  = () =
16. For  = () =
1
2 − 3
2 − 3
= (2 − 3)−1 ,  0 () = −(2 − 3)−2 · (2 − 3) = − 2
, so  = − 2
.
2 − 3
( − 3)2
( − 3)2
√
sin 
sin 
, so  = − √
.
1 + cos ,  0 () = 12 (1 + cos )−12 (− sin ) = − √
2 1 + cos 
2 1 + cos 
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
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¤
CHAPTER 3 DIFFERENTIATION RULES
17. For  = () = ln(sin ),  0 () =
18. For  = () =
19. (a)  = 10
1
cos  = cot , so  = cot  .
sin 

(1 −  ) −  (− )
 [(1 −  ) − (− )]


,  0 () =
=
=
, so  =
.
1 − 
(1 −  )2
(1 −  )2
(1 −  )2
(1 −  )2
⇒  = 10 ·
1
10
(b)  = 0 and  = 01 ⇒  =
20. (a)  = cos 
(b)  =
21. (a)  =
1
3
 =
1 10


10
1 010

(01)
10
= 001.
⇒  = −sin  ·   = − sin  
and  = −002 ⇒  = − sin 3 (−002) = 
√
3 + 2
⇒  =
√
√

32 (002) = 001 3 ≈ 0054.
1

(3 + 2 )−12 (2)  = √

2
3 + 2
1
1
(b)  = 1 and  = −01 ⇒  = √
(−01) = (−01) = −005.
2
2
3+1
22. (a)  =
+1
−1
⇒  =
( − 1)(1) − ( + 1)(1)
−2
 =

( − 1)2
( − 1)2
(b)  = 2 and  = 005 ⇒  =
−2
(005) = −2(005) = −01.
(2 − 1)2
23.  =  () = 2 − 4,  = 3, ∆ = 05
⇒
∆ =  (35) −  (3) = −175 − (−3) = 125
 =  0 ()  = (2 − 4)  = (6 − 4)(05) = 1
24.  =  () =  − 3 ,  = 0, ∆ = −03
⇒
∆ =  (−03) − (0) = −0273 − 0 = −0273
 =  0 ()  = (1 − 32 )  = (1 − 0)(−03) = −03
√
 − 2,  = 3, ∆ = 08 ⇒
√
∆ =  (38) −  (3) = 18 − 1 ≈ 034
25.  =  () =
1
1
 =  0 ()  = √
 =
(08) = 04
2(1)
2 −2
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°
SECTION 3.10 LINEAR APPROXIMATIONS AND DIFFERENTIALS
¤
279
26.  =  () =  ,  = 0, ∆ = 05
⇒
√
∆ =  (05) −  (0) =  − 1 [≈ 065]
 =   = 0 (05) = 05
27.  =  () = 4 −  + 1. If  changes from 1 to 105,  = ∆ = 105 − 1 = 005
⇒
∆ =  (105) −  (1) = 116550625 − 1  01655 and  = (43 − 1)  = (4 · 13 − 1)(005) = 3(005) = 015.
If  changes from 1 to 101,  = ∆ = 101 − 1 = 001 ⇒ ∆ =  (101) −  (1) = 103060401 − 1  00306
and  = (43 − 1)  = 3(001) = 003.
With ∆ = 005, | − ∆|  |015 − 01655| = 00155. With ∆ = 001, | − ∆|  |003 − 00306| = 00006.
Since | − ∆| is smaller for ∆ = 001 than for ∆ = 005, yes, the approximation ∆   becomes better as ∆ gets
smaller.
28.  =  () = 2−2 . If  changes from 1 to 105,  = ∆ = 105 − 1 = 005
⇒
∆ =  (105) −  (1) = 010 − 1  0105 and  = 22−2  = 22(1)−2 (005) = 2(005) = 01.
If  changes from 1 to 101,  = ∆ = 101 − 1 = 001 ⇒ ∆ =  (101) −  (1) = 002 − 1  00202
and  = 22−2  = 2(001) = 002.
With ∆ = 005, | − ∆|  |01 − 0105| = 0005. With ∆ = 001, | − ∆|  |002 − 00202| = 00002.
Since | − ∆| is smaller for ∆ = 001 than for ∆ = 005, yes, the approximation ∆   becomes better as ∆ gets
smaller.
29.  =  () =
√
5 − . If  changes from 1 to 105,  = ∆ = 105 − 1 = 005 ⇒
√
1
1
1
 = − √
 = − (005) = −00125.
395 − 2  −0012539 and  = − √
4
2 5−
2 5−1
√
If  changes from 1 to 101,  = ∆ = 101 − 1 = 001 ⇒ ∆ =  (101) −  (1) = 399 − 2  −0002502
∆ =  (105) −  (1) =
and  = − 14 (001) = −00025.
With ∆ = 005, | − ∆|  |−00125 − (−0012539)| = 0000039. With ∆ = 001,
| − ∆|  |−00025 − (−0002502)| = 0000002. Since | − ∆| is smaller for ∆ = 001 than for ∆ = 005,
yes, the approximation ∆   becomes better as ∆ gets smaller.
30.  = () =
1
. If  changes from 1 to 105,  = ∆ = 105 − 1 = 005 ⇒
2 + 1
∆ =  (105) − (1) =
 = −
1
1
−  −002438 and
(105)2 − 1
2
2
2(1)
1
 = − 2
(005) = − (005) = −0025.
(2 + 1)2
(1 + 1)2
2
If  changes from 1 to 101,  = ∆ = 101 − 1 = 001 ⇒ ∆ =  (101) −  (1) =
1
1
−  −000498
1012 + 1
2
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°
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CHAPTER 3 DIFFERENTIATION RULES
and  = − 12 (001) = −0005.
With ∆ = 005, | − ∆|  |−0025 − (−002438)| = 000038. With ∆ = 001,
| − ∆|  |−0005 − (−000498)| = 000002. Since | − ∆| is smaller for ∆ = 001 than for ∆ = 005,
yes, the approximation ∆   becomes better as ∆ gets smaller.
31. To estimate (1999)4 , we’ll find the linearization of  () = 4 at  = 2. Since  0 () = 43 ,  (2) = 16, and
 0 (2) = 32, we have () = 16 + 32( − 2). Thus, 4 ≈ 16 + 32( − 2) when  is near 2, so
(1999)4 ≈ 16 + 32(1999 − 2) = 16 − 0032 = 15968.
1
1
⇒  = −12 . When  = 4 and  = 0002,  = − 16
(0002) = − 8000
, so
32.  =  () = 1
1
4002
≈  (4) +  =
33.  =  () =
1
4
−
1
8000
=
1999
8000
= 0249875.
√
3
 ⇒  = 13 −23 . When  = 1000 and  = 1,  = 13 (1000)−23 (1) =
√
3
1001 =  (1001) ≈  (1000) +  = 10 +
34.  =  () =
1
300
35.  = () = 
1
40
so
= 10003 ≈ 10003.
 
√
 ⇒  = 12 −12 . When  = 100 and  = 05,  = 12 (100)−12 12 =
√
1005 = (1005) ≈ (100) +  = 10 +
1
,
300
1
,
40
so
= 10025.
⇒  =  . When  = 0 and  = 01,  = 0 (01) = 01, so
01 =  (01) ≈  (0) +  = 1 + 01 = 11.
⇒  = −sin  . When  = 30◦ [6] and  = −1◦ [−180],
√

  
  

 = − sin 6 − 180
= − 12 − 180
= 360
, so cos 29◦ =  (29◦ ) ≈  (30◦ ) +  = 12 3 +
36.  =  () = cos 
37.  =  () = ln 

360
≈ 0875.
⇒  0 () = 1, so  (1) = 0 and  0 (1) = 1. The linear approximation of  at 1 is
 (1) +  0 (1)( − 1) =  − 1. Now  (104) = ln 104  104 − 1 = 004, so the approximation is reasonable.
38.  = () =
√
√
 ⇒  0 () = 1(2  ), so (4) = 2 and  0 (4) = 14 . The linear approximation of  at 4 is
 (4) +  0 (4)( − 4) = 2 + 14 ( − 4). Now (402) =
√
402 ≈ 2 + 14 (002) = 2 + 0005 = 2005, so the approximation is
reasonable.
39.  = () = 1
⇒  0 () = −12 , so  (10) = 01 and  0 (10) = −001. The linear approximation of  at 10 is
 (10) +  0 (10)( − 10) = 01 − 001( − 10). Now  (998) = 1998 ≈ 01 − 001(−002) = 01 + 00002 = 01002,
so the approximation is reasonable.
40. (a)  () = ( − 1)2
⇒  0 () = 2( − 1), so  (0) = 1 and  0 (0) = −2.
Thus,  () ≈  () =  (0) +  0 (0)( − 0) = 1 − 2.
() = −2
⇒ 0 () = −2−2 , so (0) = 1 and  0 (0) = −2.
[continued]
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°
SECTION 3.10 LINEAR APPROXIMATIONS AND DIFFERENTIALS
¤
281
Thus, () ≈  () = (0) + 0 (0)( − 0) = 1 − 2.
() = 1 + ln(1 − 2) ⇒ 0 () =
−2
, so (0) = 1 and 0 (0) = −2.
1 − 2
Thus, () ≈  () = (0) + 0 (0)( − 0) = 1 − 2.
Notice that  =  =  . This happens because  , , and  have the same function values and the same derivative
values at  = 0.
(b) The linear approximation appears to be the best for the function  since it is
closer to  for a larger domain than it is to  and . The approximation
looks worst for  since  moves away from  faster than  and  do.
41. (a) If  is the edge length, then  = 3
⇒  = 32 . When  = 30 and  = 01,  = 3(30)2 (01) = 270, so the
maximum possible error in computing the volume of the cube is about 270 cm3 . The relative error is calculated by dividing
the change in  , ∆ , by  . We approximate ∆ with  .



32 
01
∆

≈
=
=
3
= 001.
Relative error =
=
3


3

30
Percentage error = relative error × 100% = 001 × 100% = 1%.
(b)  = 62
⇒  = 12 . When  = 30 and  = 01,  = 12(30)(01) = 36, so the maximum possible error in
computing the surface area of the cube is about 36 cm2 .


∆

12 
01

Relative error =
≈
=
=
2
= 0006.
=
2


62

30
Percentage error = relative error × 100% = 0006 × 100% = 06%.
42. (a)  = 2
⇒  = 2 . When  = 24 and  = 02,  = 2(24)(02) = 96, so the maximum possible error
in the calculated area of the disk is about 96 ≈ 30 cm2 .
(b) Relative error =
2(02)
∆

2 
02
1
2 
≈
=
=
=
=
= 0016.
=


2

24
12
60
Percentage error = relative error ×100% = 0016 × 100% = 16%.
43. (a) For a sphere of radius , the circumference is  = 2 and the surface area is  = 42 , so
=

2
 2

2
⇒  = 4
=
2

so the maximum error is about
⇒  =
2
2
84
 . When  = 84 and  = 05,  = (84)(05) =
,



84
84
1

≈ 27 cm2 . Relative error ≈
= 2
=
≈ 0012 = 12%


84 
84
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°
282
¤
CHAPTER 3 DIFFERENTIATION RULES
(b)  =
 3
4 3
4
3

 = 
=
3
3
2
6 2
 =
⇒  =
1
 2 . When  = 84 and  = 05,
2 2
1764
1764
1
(84)2 (05) =
, so the maximum error is about 2 ≈ 179 cm3 .
22
2

The relative error is approximately
44. For a hemispherical dome,  =
 = 2(25)2 (00005) =
45. (a)  = 2 
5
,
8
17642
1

=
=
≈ 0018 = 18%.

(84)3(62 )
56
⇒  = 22 . When  = 12 (50) = 25 m and  = 005 cm = 00005 m,
3
2
3 
so the amount of paint needed is about
5
8
≈ 2 m3 .
⇒ ∆ ≈  = 2  = 2 ∆
(b) The error is
∆ −  = [( + ∆)2  − 2 ] − 2 ∆ = 2  + 2 ∆ + (∆)2  − 2  − 2 ∆ = (∆)2 .
46. (a) sin  =
20

⇒  = 20 csc 
⇒
 = 20(− csc  cot )  = −20 csc 30◦ cot 30◦ (±1◦ )
√
√   
2 3
=±

= −20(2) 3 ±
180
9
√
So the maximum error is about ± 29 3  ≈ ±121 cm.
√
√
± 29 3 

∆
3
≈
=
=±
 ≈ ±003, so the percentage error is approximately ±3%.
(b) The relative error is


20(2)
180
47.  = 
⇒ =


⇒  = −


−( 2 ) 

∆
≈
=
=−
.
. The relative error in calculating  is
2



 

Hence, the relative error in calculating  is approximately the same (in magnitude) as the relative error in .
48.  = 4
⇒  = 43  ⇒


43 


=
. Thus, the relative change in  is about 4 times the
=
4

4

relative change in . So a 5% increase in the radius corresponds to a 20% increase in blood flow.
49. (a)  =

 = 0  = 0

(c) ( + ) =
(d) () =

( + )  =


()  =

(b) () =



+
 

 =


()  = 
 =  




 +
 =  + 









+
 + 
 =   +  
 = 









−
 − 



 
  −  




(e) 
=
 =
 =
=
2
2

 


2
(f )  ( ) =

( )  = −1 

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°
SECTION 3.10 LINEAR APPROXIMATIONS AND DIFFERENTIALS
50. (a)  () = sin 
¤
⇒  0 () = cos , so (0) = 0 and  0 (0) = 1.
Thus,  () ≈  (0) +  0 (0)( − 0) = 0 + 1( − 0) = .
(b) The relative error in approximating sin  by  for  = 18 is
18 − sin(18)
≈ 00051, so the percentage error
sin(18)
is 051%.
(c)
We want to know the values of  for which  =  approximates  = sin  with less than a 2% difference; that is, the
values of  for which


  − sin  
 − sin 


 sin    002 ⇔ −002  sin   002 ⇔

−002 sin    − sin   002 sin  if sin   0
−002 sin    − sin   002 sin  if sin   0
⇔

098 sin     102 sin  if sin   0
102 sin     098 sin  if sin   0
In the first figure, we see that the graphs are very close to each other near  = 0. Changing the viewing rectangle
and using an intersect feature (see the second figure) we find that  =  intersects  = 102 sin  at  ≈ 0344.
By symmetry, they also intersect at  ≈ −0344 (see the third figure).
Thus, with  measured in radians, sin  and  differ by less than 2% for −0344    0344. Converting
0344 radians to degrees, we get 0344(180◦) ≈ 197◦ , so the corresponding interval in degrees is approximately
−197◦    197◦ .
51. (a) The graph shows that  0 (1) = 2, so () =  (1) +  0 (1)( − 1) = 5 + 2( − 1) = 2 + 3.
 (09) ≈ (09) = 48 and  (11) ≈ (11) = 52.
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°
283
284
¤
CHAPTER 3 DIFFERENTIATION RULES
(b) From the graph, we see that  0 () is positive and decreasing. This means that the slopes of the tangent lines are positive,
but the tangents are becoming less steep. So the tangent lines lie above the curve. Thus, the estimates in part (a) are too
large.
52. (a)  0() =
√
√
2 + 5 ⇒ 0 (2) = 9 = 3. (195) ≈ (2) +  0(2)(195 − 2) = −4 + 3(−005) = −415.
(205) ≈ (2) + 0(2)(205 − 2) = −4 + 3(005) = −385.
(b) The formula 0 () =
√
2 + 5 shows that  0 () is positive and increasing. This means that the slopes of the tangent lines
are positive and the tangents are getting steeper. So the tangent lines lie below the graph of . Hence, the estimates in
part (a) are too small.
DISCOVERY PROJECT Polynomial Approximations
1. We first write the functions described in conditions (i), (ii), and (iii):
 () =  +  + 2
 () = cos 
0
 () =  + 2
 0 () = − sin 
 00 () = 2
 00 () = − cos 
So, taking  = 0, our three conditions become
 (0) = (0):
 = cos 0 = 1
 0 (0) =  0 (0):
 = − sin 0 = 0
00
00
 (0) =  (0):
2 = − cos 0 = −1 ⇒  = − 12
The desired quadratic function is  () = 1 − 12 2 , so the quadratic approximation is cos  ≈ 1 − 12 2 .
The figure shows a graph of the cosine function together with its linear
approximation () = 1 and quadratic approximation  () = 1 − 12 2
near 0. You can see that the quadratic approximation is much better than the
linear one.



2. Accuracy to within 01 means that cos  − 1 − 12 2   01


⇔ −01  cos  − 1 − 12 2  01
⇔


01  1 − 12 2 − cos   −0.1 ⇔ cos  + 01  1 − 12 2  cos  − 01 ⇔ cos  − 01  1 − 12 2  cos  + 01.
From the figure we see that this is true between  and . Zooming in or
using an intersect feature, we find that the ­coordinates of  and  are
about ±126. Thus, the approximation cos  ≈ 1 − 12 2 is accurate to
within 01 when −126    126.
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°
DISCOVERY PROJECT POLYNOMIAL APPROXIMATIONS
¤
285
3. If  () =  + ( − ) + ( − )2 , then  0 () =  + 2( − ) and  00 () = 2. Applying the conditions (i), (ii),
and (iii), we get
 () =  ():
 =  ()
 0 () =  0 ():
 =  0 ()
 00 () =  00 ():
2 =  00 ()
⇒  = 12  00 ()
Thus,  () =  + ( − ) + ( − )2 can be written in the form  () =  () +  0 ()( − ) + 12  00 ()( − )2 .
4. From Example 3.10.1, we have  (1) = 2,  0 (1) =
So  00 () = − 14 ( + 3)−32
1
4,
and  0 () = 12 ( + 3)−12 .
1
⇒  00 (1) = − 32
.
From Problem 3, the quadratic approximation  () is
√
1
 + 3 ≈  (1) +  0 (1)( − 1) + 12  00 (1)( − 1)2 = 2 + 14 ( − 1) − 64
( − 1)2 .
√
The figure shows the function  () =  + 3 together with its linear
approximation () = 14  +
7
4
and its quadratic approximation  (). You can see that  () is a better approximation than
() and this is borne out by the numerical values in the following chart.
√
398
√
405
√
42
from ()
actual value
from  ()
19950
199499373   
199499375
20125
201246118   
201246094
20500
204939015   
204937500
5.  () = 0 + 1 ( − ) + 2 ( − )2 + 3 ( − )3 + · · · +  ( − ) . If we put  =  in this equation,
then all terms after the first are 0 and we get  () = 0 . Now we differentiate  () and obtain
0 () = 1 + 22 ( − ) + 33 ( − )2 + 44 ( − )3 + · · · +  ( − )−1 . Substituting  =  gives 0 () = 1 .
Differentiating again, we have 00 () = 22 + 2 · 33 ( − ) + 3 · 44 ( − 2 ) + · · · + ( − 1) ( − )−2 and so
00 () = 22 . Continuing in this manner, we get 000 () = 2 · 33 + 2 · 3 · 44 ( − ) + · · · + ( − 2)( − 1) ( − )−3
and 000 () = 2 · 33 . By now we see the pattern. If we continue to differentiate and substitute  = , we obtain
(4)
()
 () = 2 · 3 · 44 and in general, for any integer  between 1 and ,  () = 2 · 3 · 4 · 5 · · · · ·  = ! 
⇒
()
 =
 ()
 () ()
. Because we want  and  to have the same derivatives at , we require that  =
for
!
!
 = 1 2     .
6.  () =  () +  0 ()( − ) +
 00 ()
 () ()
( − )2 + · · · +
( − ) . To compute the coefficients in this equation we
2!
!
need to calculate the derivatives of  at 0:
() = cos 
0
 () = − sin 
 00 () = − cos 
 (0) = cos 0 = 1
 0 (0) = − sin 0 = 0
 00 (0) = −1
 000 () = sin 
 000 (0) = 0
 (4) () = cos 
 (4) (0) = 1
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
[continued]
286
¤
CHAPTER 3
DIFFERENTIATION RULES
We see that the derivatives repeat in a cycle of length 4, so  (5) (0) = 0,  (6) (0) = −1,  (7) (0) = 0, and  (8) (0) = 1.
From the original expression for  (), with  = 8 and  = 0, we have
8 () =  (0) +  0 (0)( − 0) +
=1+0·+
 00 (0)
 000 (0)
 (8) (0)
( − 0)2 +
( − 0)3 + · · · +
( − 0)8
2!
3!
8!
4
6
8
−1 2
1
−1 6
1
2
 + 0 · 3 + 4 + 0 · 5 +
 + 0 · 7 + 8 = 1 −
+
−
+
2!
4!
6!
8!
2!
4!
6!
8!
and the desired approximation is cos  ≈ 1 −
2
4
6
8
+
−
+
. The Taylor polynomials 2 , 4 , and 6 consist of the
2!
4!
6!
8!
initial terms of 8 up through degree 2, 4, and 6, respectively. Therefore, 2 () = 1 −
6 () = 1 −
4
2
2
, 4 () = 1 −
+
, and
2!
2!
4!
4
6
2
+
−
. We graph 2 , 4 , 6 , 8 , and  :
2!
4!
6!
Notice that 2 () is a good approximation to cos 
near 0, 4 () is a good approximation on a larger
interval, 6 () is a better approximation, and
8 () is better still. Each successive Taylor
polynomial is a good approximation on a larger
interval than the previous one.
3.11 Hyperbolic Functions
1. (a) sinh 0 =
2. (a) tanh 0 =
1
(0
2
− −0 ) = 0
(b) cosh 0 = 12 (0 + −0 ) = 12 (1 + 1) = 1
(0 − −0 )2
=0
(0 + −0 )2
3. (a) cosh(ln 5) =
1
(ln 5
2
+ −ln 5 ) =
(b) tanh 1 =
1
2
(b) cosh 5 = 12 (5 + −5 ) ≈ 7420995
4. (a) sinh 4 =
1
(4
2
− −4 ) ≈ 2728992
(b) sinh(ln 4) = 12 (ln 4 − −ln 4 ) =
5. (a) sech 0 =
1
1
= =1
cosh 0
1
6. (a) sinh 1 =
1
(1
2
1
2
1 − −1
2 − 1
≈ 076159
= 2
1
−1
 +
 +1




5 + (ln 5 )−1 = 12 (5 + 5−1 ) = 12 5 + 15 =




4 − (ln 4 )−1 = 12 (4 − 4−1 ) = 12 4 − 14 =
13
5
15
8
(b) cosh−1 1 = 0 because cosh 0 = 1.
− −1 ) ≈ 117520
√ 
√



(b) Using Equation 3, we have sinh−1 1 = ln 1 + 12 + 1 = ln 1 + 2 ≈ 088137.

 

 
 + −
8
 − −
8
5
5
13  3 −
+5
=  − − +  + − =
 − 
7. 8 sinh  + 5 cosh  = 8
2
2
2
2
2
2
2
2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.11
8. 22 + 3−2 =  sinh 2 +  cosh 2
22 + 3−2 =
⇒ 22 + 3−2
 2  −2  2  −2
 − 
+  + 
2
2
2
2
HYPERBOLIC FUNCTIONS

 2

 2
 + −2
 − −2
+
⇒
=
2
2
⇒ 22 + 3−2 =
 +  2 − +  −2
 +

2
2
⇒
+
− + 
= 2 and
= 3 ⇒  +  = 4 and − +  = 6 ⇒ 2 = 10 ⇒  = 5 and  = −1.
2
2
Thus, 22 + 3−2 = − sinh 2 + 5 cosh 2.
9. sinh(ln ) =




 1
−1
1
1 2 − 1
2 − 1
1 ln 
1
1
= ( − −1 ) =
(
 − ln 
−
=
=
− − ln  ) =
2
2
2
2

2

2
 1
 1
4
−4
1  ln 4
= (4 + −4 )

4 + ln 
+ − ln  =
2
2
2



 8
8
1 4
1
1  +1
 +1
=
=
 + 4 =
2

2
4
24
10. cosh(4 ln ) = cosh(ln 4 ) =
11. sinh(−) = 12 [− − −(−) ] =
12. cosh(−) =
1 −
[
2
1
(−
2
−  ) = − 12 (− −  ) = − sinh 
+ −(−) ] = 12 (− +  ) = 12 ( + − ) = cosh 
13. cosh  + sinh  = 12 ( + − ) + 12 ( − − ) =
1
(2 )
2
14. cosh  − sinh  = 12 ( + − ) − 12 ( − − ) =
−
1
)
2 (2
15. sinh  cosh  + cosh  sinh  =
1

2 (
= 
= −

 


− − ) 12 ( + − ) + 12 ( + − ) 12 ( − − )
= 14 [(+ + − − −+ − −− ) + (+ − − + −+ − −− )]
= 14 (2+ − 2−− ) = 12 [+ − −(+) ] = sinh( + )
16. cosh  cosh  + sinh  sinh  =
1
2

 


( + − ) 12 ( + − ) + 12 ( − − ) 12 ( − − )
 +

(
+ − + −+ + −− ) + (+ − − − −+ + −− )


= 14 (2+ + 2−− ) = 12 + + −(+) = cosh( + )
=
1
4
17. Divide both sides of the identity cosh2  − sinh2  = 1 by sinh2 :
cosh2  sinh2 
1
−
=
sinh2 
sinh2 
sinh2 
⇔ coth2  − 1 = csch2 .
sinh  cosh 
cosh  sinh 
+
sinh  cosh  + cosh  sinh 
sinh( + )
cosh  cosh 
cosh  cosh 
=
=
18. tanh( + ) =
sinh  sinh 
cosh  cosh 
cosh( + )
cosh  cosh  + sinh  sinh 
+
cosh  cosh 
cosh  cosh 
tanh  + tanh 
=
1 + tanh  tanh 
19. Putting  =  in the result from Exercise 15, we have
sinh 2 = sinh( + ) = sinh  cosh  + cosh  sinh  = 2 sinh  cosh .
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
¤
287
288
¤
CHAPTER 3
DIFFERENTIATION RULES
20. Putting  =  in the result from Exercise 16, we have
cosh 2 = cosh( + ) = cosh  cosh  + sinh  sinh  = cosh2  + sinh2 .
21. tanh(ln ) =
22.
(ln  − − ln  )2
 − (ln  )−1
(2 − 1)
2 − 1
sinh(ln )
 − −1
 − 1
= ln 
=
=
=
=
=
cosh(ln )
(
+ − ln  )2
 + (ln  )−1
 + −1
 + 1
(2 + 1)
2 + 1
1 + (sinh ) cosh 
cosh  + sinh 
1 + tanh 
=
=
=
1 − tanh 
1 − (sinh )  cosh 
cosh  − sinh 
Or: Using the results of Exercises 13 and 14,
1
(
2
1
(
2
+ − ) + 12 ( − − )

=
= 2
1
−
+ − ) − 2 ( − − )

cosh  + sinh 
= − = 2
cosh  − sinh 

23. By Exercise 13, (cosh  + sinh ) = ( ) =  = cosh  + sinh .
1
1
13
=
=
.
tanh 
1213
12
 2
25
sech2  = 1 − tanh2  = 1 − 12
= 169
⇒ sech  =
13
24. coth  =
1
tanh 
⇒ coth  =
5
13
[sech, like cosh, is positive].
1
13
=
.
513
5
cosh  =
1
sech 
⇒ cosh  =
tanh  =
sinh 
cosh 
⇒ sinh  = tanh  cosh  ⇒ sinh  =
csch  =
1
sinh 
⇒ csch  =
1
5
=
.
125
12
25. sech  =
1
cosh 
⇒ sech  =
1
3
= .
53
5
cosh2  − sinh2  = 1 ⇒ sinh2  = cosh2  − 1 =
1
3
= .
43
4
csch  =
1
sinh 
tanh  =
sinh 
cosh 
⇒ tanh  =
43
4
= .
53
5
coth  =
1
tanh 
⇒ coth  =
1
5
= .
45
4
⇒ csch  =
 5 2
3
12 13
12
·
=
.
13 5
5
−1 =
16
9
⇒ sinh  =
4
3
[because   0].
26. (a)
1−0
 − − −
1 − −2
=1
· − = lim
=

−
→∞  + 
→∞ 1 + −2

1+0
27. (a) lim tanh  = lim
→∞
0−1
 − − 
2 − 1
=
= −1
·  = lim 2

−
→−∞  + 
→−∞ 

+1
0+1
(b) lim tanh  = lim
→−∞
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.11
(c) lim sinh  = lim
→∞
→∞
HYPERBOLIC FUNCTIONS
¤
 − −
=∞
2
 − −
= −∞
→−∞
2
(d) lim sinh  = lim
→−∞
(e) lim sech  = lim
2
=0
 + −
(f ) lim coth  = lim
1+0
 + − −
1 + −2
= 1 [Or: Use part (a).]
· − = lim
=

−
→∞
 −

1 − −2
1−0
→∞
→∞
→∞
→∞
(g) lim coth  = lim
cosh 
= ∞, since sinh  → 0 through positive values and cosh  → 1.
sinh 
(h) lim coth  = lim
cosh 
= −∞, since sinh  → 0 through negative values and cosh  → 1.
sinh 
→0+
→0−
→0+
→0−
(i) lim csch  = lim
→−∞
→−∞
2
=0
 − −
1−0
1
sinh 
 − −
1 − −2
=
=
=
lim
=
lim
→∞
→∞
→∞

2
2
2
2
(j) lim

 1 

(cosh ) =
( + − ) = 12 ( − − ) = sinh 

 2



cosh2  − sinh2 
1

sinh 
cosh  cosh  − sinh  sinh 
(tanh ) =
=
=
= sech2 
(b)
=
2

 cosh 
cosh 
cosh2 
cosh2 



1
cosh 
cosh 

1
(csch ) =
=−
·
= − csch  coth 
(c)
=−

 sinh 
sinh  sinh 
sinh2 
28. (a)
(d)


(sech ) =




(coth ) =
(e)




1
cosh 
cosh 
sinh 


=−
=
sinh 
sinh 
1
·
= − sech  tanh 
=−
cosh  cosh 
cosh2 
sinh  sinh  − cosh  cosh 
sinh2  − cosh2 
1
=
=−
= − csch2 
2
sinh 
sinh2 
sinh2 
29. Let  = sinh−1 . Then sinh  =  and, by Example 1(a), cosh2  − sinh2  = 1
⇒ [with cosh   0]

√
√
cosh  = 1 + sinh2  = 1 + 2 . So by Exercise 13,  = sinh  + cosh  =  + 1 + 2 ⇒
√


 = ln  + 1 + 2 .

√
cosh2  − 1 = 2 − 1. So, by Exercise 13,
√
√


 = cosh  + sinh  =  + 2 − 1 ⇒  = ln  + 2 − 1 .


Another method: Write  = cosh  = 12  + − and solve a quadratic, as in Example 3.
30. Let  = cosh−1 . Then cosh  =  and  ≥ 0, so sinh  =
31. (a) Let  = tanh−1 . Then  = tanh  =
1 +  = 2 − 2
=


1+
1
ln
.
2
1−
( − − )2 
sinh 
2 − 1
= 
·  = 2
−
cosh 
( +  )2 
 +1
⇒ 1 +  = 2 (1 − ) ⇒ 2 =
1+
1−
⇒ 2 +  = 2 − 1 ⇒


1+
⇒ 2 = ln
⇒
1−
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
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¤
CHAPTER 3
DIFFERENTIATION RULES
(b) Let  = tanh−1 . Then  = tanh , so from Exercise 22 we have




1+
1+
1
1+
1 + tanh 
=
⇒ 2 = ln
⇒  = ln
.
2 =
1 − tanh 
1−
1−
2
1−
32. (a) (i)  = csch−1 
⇔ csch  =  ( 6= 0)
(ii) We sketch the graph of csch−1 by reflecting the graph of csch (see Exercise 26)
about the line  = .
2
⇒  − − = 2 ⇒
 − −
√
1 ± 2 + 1
. But   0, so for   0,
( )2 − 2 −  = 0 ⇒  =

√
√
√


1 + 2 + 1
1 − 2 + 1
1
2 + 1


−1
and for   0,  =
. Thus, csch  = ln
+
 =
.



||
(iii) Let  = csch−1 . Then  = csch  =
(b) (i)  = sech−1  ⇔ sech  =  and   0
(ii) We sketch the graph of sech−1 by reflecting the graph of sech (see Exercise 26)
about the line  = .
2
⇒  + − = 2 ⇒
 + −
√
1 ± 1 − 2
. But   0 ⇒   1.
 ( )2 − 2 +  = 0 ⇔  =

√
√
√
1 − 1 − 2
 1 ⇔ 1 − 1 − 2   ⇔ 1 −   1 − 2
This rules out the minus sign because

(iii) Let  = sech−1 , so  = sech  =
1 − 2 + 2  1 − 2 ⇔ 2   ⇔   1, but  = sech  ≤ 1.
√
√


1 + 1 − 2
1 + 1 − 2
⇒ sech−1  = ln
Thus,  =
.


(c) (i)  = coth−1  ⇔ coth  = 
(ii) We sketch the graph of coth−1 by reflecting the graph of coth (see Exercise 26)
about the line  = .
(iii) Let  = coth−1 . Then  = coth  =
 − − =  + −
2 = ln
+1
−1
 + −
 − −
⇒ ( − 1) = ( + 1)−
⇒ coth−1  =
⇒ 2 =
1 +1
ln
2 −1
33. (a) Let  = cosh−1 . Then cosh  =  and  ≥ 0
1
1
1

=
= 
= √
2
2

sinh 
 −1
cosh  − 1
⇒ sinh 
+1
−1
⇒

=1 ⇒

[since sinh  ≥ 0 for  ≥ 0]. Or: Use Formula 4.
(b) Let  = tanh−1 . Then tanh  =  ⇒ sech2 
Or: Use Formula 5.
⇒

=1 ⇒


1
1
1
=
.
=
=

1 − 2
sech2 
1 − tanh2 
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
⇔
SECTION 3.11
(c) Let  = coth−1 . Then coth  =  ⇒ − csch2 

=1 ⇒

by Exercise 17.
34. (a) Let  = sech−1 . Then sech  = 
⇒ − sech  tanh 
HYPERBOLIC FUNCTIONS
¤
291

1
1
1
=−
=
=

1 − 2
csch2 
1 − coth2 

=1 ⇒

1
1
1


=−
=−
=− √
. [Note that   0 and so tanh   0.]
2

sech  tanh 

1
− 2
sech  1 − sech 

1
=−
. By Exercise 17,

csch  coth 

√
√
coth  = ± csch2  + 1 = ± 2 + 1. If   0, then coth   0, so coth  = 2 + 1. If   0, then coth   0,
(b) Let  = csch−1 . Then csch  =  ⇒ − csch  coth 

=1 ⇒

√
1
1

=−
=− √
.
so coth  = − 2 + 1. In either case we have

csch  coth 
|| 2 + 1
35.  () = cosh 3
⇒
 0 () = sinh(3) ·

(3) = sinh(3) · 3 = 3 sinh 3

PR
36.  () =  cosh 
⇒  0 () =  sinh  + (cosh ) =  (sinh  + cosh ), or, using Exercise 13,  ( ) = 2 .
37. () = sinh(2 )
⇒ 0 () = cosh(2 )
38. () = sinh2  = (sinh )2

(2 ) = 2 cosh(2 )

⇒  0 () = 2(sinh )1

(sinh ) = 2 sinh  cosh , or, using Exercise 19, sinh 2.

 1 
1  ln 

ln  =
 + − ln 
=

2




1
1
1
1
−
⇒ 0 () =
1+
Or: () = sinh(ln ) = (ln  − − ln  ) =
2
2

2
39. () = sinh(ln )
⇒ 0 () = cosh(ln )
40.  () = ln(sinh )
⇒  0 () =

1
1
sinh  =
cosh  = coth 
sinh  
sinh 
√  √
√
√
41.  () = tanh  ⇒  0 () = sech2 
 = sech2 

42. () = tanh 2
43.  = sech  tanh 
44.  = sech(tanh )
45. () =  coth




1
1
1 2 + 1
2 + 1
+
=
=
2

2

22

2 + 1
1
=
2

22
⇒  0 () = tanh 2 ·

1
√
2 

√
sech2 
√
=
2 

tanh 2 = tanh 2 · sech2 (2) · 2 = 2tanh 2 sech2 (2)

PR
⇒  0 = sech  · sech2  + tanh  · (− sech  tanh ) = sech3  − sech  tanh2 
⇒  0 = − sech(tanh ) tanh(tanh ) ·

(tanh ) = − sech(tanh ) tanh(tanh ) · sech2 

√
PR
2 + 1 ⇒


 
√
√
√
√

2
 0 () =  − csch2 2 + 1 12 (2 + 1)−12 · 2 + coth 2 + 1 (1) = coth 2 + 1 − √
csch2 2 + 1
2
 +1
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°
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DIFFERENTIATION RULES
1 + sinh 
1 − sinh 
46.  () =
 0 () =
=
QR
⇒
(1 − sinh ) cosh  − (1 + sinh )(− cosh )
cosh  − sinh  cosh  + cosh  + sinh  cosh 
=
(1 − sinh )2
(1 − sinh )2
2 cosh 
(1 − sinh )2
2
1

(−2) = − √
⇒  0 () = 
·
1 + 42
1 + (−2)2 
47.  () = sinh−1 (−2)
48. () = tanh−1 (3 )
49.  = cosh−1 (sec )
⇒  0 () =
1

32
(3 ) =
·
1 − (3 )2 
1 − 6
⇒
1
1

1
0 = √
(sec ) = √
· sec  tan 
·
· sec  tan  =
tan 
sec2  − 1 
tan2 
50.  = sech −1 (sin )
[since 0 ≤   2] = sec 
⇒
1
1


√
· cos 
(sin ) = −
·
2

sin

cos2 
sin  1 − sin 
1
1
=−
· cos  [since 0    2] = −
= − csc 
sin  · cos 
sin 
0 = −
51. () = cosh−1
√
1 + 2
⇒

 √
1
1

2
 0 () = √
·
1 + 2 = 
= √
· √
√
2
2
2) − 1
2 ·

2
1
+

(1
+


1 + 2
2
1+
−1

= √
 1 + 2
[since   0]
1
= √
1 + 2
√
1 − 2 =  tanh−1  + 12 ln(1 − 2 ) ⇒


1

1
(−2) = tanh−1 
+
 0 = tanh−1  +
1 − 2
2 1 − 2
52.  =  tanh−1  + ln
53.  =  sinh−1 (3) −
 0 = sinh−1
54.
55.

√
9 + 2
⇒


13

2

+ 
+√
− √
= sinh−1
−√
= sinh−1
2
2
2
2
3
3
3
2 9+
9+
9+
1 + (3)
1 + (sinh ) cosh 
cosh  + sinh 

1 + tanh 
=
=
= − [by Exercises 13 and 14] = 2 , so
1 − tanh 
1 − (sinh ) cosh 
cosh  − sinh 



√
 2
 4 1 + tanh 
1
4
4 1 + tanh 
= 2 = 2 . Thus,
=
( ) = 2 .
1 − tanh 
 1 − tanh 

2
1
sech2 
1 cosh2 


arctan(tanh ) =
(tanh
)
=
=

1 + (tanh )2 
1 + tanh2 
1 + (sinh2 ) cosh2 
=
1
1
[by Exercise 20] = sech 2
=
cosh 2
cosh2  + sinh2 
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 3.11
HYPERBOLIC FUNCTIONS
¤
293
56. (a) Let  = 003291765. A graph of the central curve,
 =  () = 21149 − 2096 cosh , is shown.
(b)  (0) = 21149 − 2096 cosh 0 = 21149 − 2096(1) = 19053 m
(c)  = 100 ⇒ 100 = 21149 − 2096 cosh  ⇒
2096 cosh  = 11149 ⇒ cosh  =
 = ± cosh−1
11149
2096
11149
2096
⇒
1
11149
⇒  = ± cosh−1
≈ ±7156 m. The points are approximately (±7156 100).

2096
(d)  () = 21149 − 2096 cosh  ⇒  0 () = −2096 sinh  · .


 



11149
11149
11149
1
1
 0 ± cosh−1
= −2096 sinh  ± cosh−1
= −2096 sinh ± cosh−1
≈ ∓36.

2096

2096
2096
So the slope at (7156 100) is about −36 and the slope at (−7156 100) is about 36.


2
2
gets large, and from Figure 5 or Exercise 27(a), tanh
57. As the depth  of the water gets large, the fraction










2
tanh
≈
(1) =
.
approaches 1. Thus,  =
2

2
2
For  =  cosh() with   0, we have the ­intercept equal to .
58.
As  increases, the graph flattens.
59. (a)  = 20 cosh(20) − 15
⇒  0 = 20 sinh(20) ·
1
20
= sinh(20). Since the right pole is positioned at  = 7,
7
≈ 03572.
we have  0 (7) = sinh 20
7
, so
(b) If  is the angle between the tangent line and the ­axis, then tan  = slope of the line = sinh 20


7
 = tan−1 sinh 20
≈ 0343 rad ≈ 1966◦ . Thus, the angle between the line and the pole is  = 90◦ −  ≈ 7034◦ .
60. We differentiate the function twice, then substitute into the differential equation:  =
   



=
sinh
= sinh







cosh


⇒
   
2 


=
cosh
. We evaluate the two sides
= cosh
2






 2





2 




cosh
and
RHS
=
=
cosh
,
separately: LHS =
=
1
+
=
1 + sinh2
2








⇒
by the identity proved in Example 1(a).
61. (a) From Exercise 60, the shape of the cable is given by  =  () =
­axis, so the lowest point is (0  (0)) =
  

cosh
. The shape is symmetric about the





0
and the poles are at  = ±100. We want to find  when the lowest

c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
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¤
CHAPTER 3
DIFFERENTIATION RULES

kg­m
= 60 ⇒  = 60 = (60 m)(2 kgm)(98 ms2 ) = 1176
, or 1176 N (newtons).

s2




 · 100

100
cosh
The height of each pole is (100) =
= 60 cosh
≈ 16450 m.


60
point is 60 m, so
(b) If the tension is doubled from  to 2 , then the low point is doubled since

= 60 ⇒

2
= 120. The height of the





2
 · 100
100
cosh
= 120 cosh
≈ 16413 m, just a slight decrease.

2
120

 
 









as  → ∞,
tanh 
=
lim tanh 
=
·1
62. (a) lim () = lim
  → ∞
→∞
→∞


 →∞


poles is now  (100) =
(b) Belly­to­earth:
 = 98,  = 0515,  = 60, so the terminal velocity is
Feet­first:
 = 98,  = 0067,  = 60, so the terminal velocity is
63. (a)  =  sinh  +  cosh 


=



60(98)
≈ 3379 ms.
0515
60(98)
≈ 9368 ms.
0067
⇒  0 =  cosh  +  sinh  ⇒
 00 = 2  sinh  + 2  cosh  = 2 ( sinh  +  cosh ) = 2 
(b) From part (a), a solution of  00 = 9 is () =  sinh 3 +  cosh 3. Now −4 = (0) =  sinh 0 +  cosh 0 = , so
 = −4. Also,  0 () = 3 cosh 3 − 12 sinh 3, so 6 =  0 (0) = 3 ⇒  = 2. Thus,  = 2 sinh 3 − 4 cosh 3.

 1
1
1  ln(sec +tan )

sec  + tan  +
+ − ln(sec +tan ) =
2
2
sec  + tan 




sec  − tan 
1
sec  − tan 
1
sec  + tan  +
=
sec  + tan  +
=
2
(sec  + tan )(sec  − tan )
2
sec2  − tan2 
64. cosh  = cosh[ln(sec  + tan )] =
= 12 (sec  + tan  + sec  − tan ) = sec 
65. The tangent to  = cosh  has slope 1 when  0 = sinh  = 1
Since sinh  = 1 and  = cosh  =
√ 

⇒  = sinh−1 1 = ln 1 + 2 , by Equation 3.

√
√  √ 
 
1 + sinh2 , we have cosh  = 2. The point is ln 1 + 2 , 2 .
66.  () = tanh( sin ), where  is a positive integer. Note that  ( + 2) =  (); that is,  is periodic with period 2.
Also, from Figure 3, −1  tanh   1, so we can choose a viewing rectangle of [0 2] × [−1 1]. From the graph, we see
that  () becomes more rectangular looking as  increases. As  becomes
large, the graph of  approaches the graph of  = 1 on the intervals
(2 (2 + 1)) and  = −1 on the intervals ((2 − 1) 2).
67. If  + − =  cosh( + )
 + −
[or  sinh( + )], then



 



= 2 + ± −− = 2   ± − − = 2   ± 2 − − . Comparing coefficients of 
and − , we have  =
 

2
(1) and  = ± 2 − (2). We need to find  and . Dividing equation (1) by equation (2)
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
CHAPTER 3 REVIEW
gives us
 =


= ±2
 
⇒ =
⇒ () 2 = ln ± 
2

2

and  = ± , so
=±

2

2
() If


1
2
¤
295
 
ln ±  . Solving equations (1) and (2) for  gives us
⇒ 2 = ±4 ⇒  = 2
 0, we use the + sign and obtain a cosh function, whereas if
√
±.


 0, we use the − sign and obtain a sinh
function.
In summary, if  and  have the same sign, we have  + − = 2
√

 
opposite sign, then  + − = 2 − sinh  + 12 ln −  .
√

 cosh  +
1
2

ln  , whereas, if  and  have the
3 Review
1. True.
This is the Sum Rule.
2. False.
See the warning before the Product Rule.
3. True.
This is the Chain Rule.
4. True.
 

1
 0 ()
[ ()]12 = [ ()]−12  0 () = 
 () =


2
2 ()
5. False.
√
√
√
 0 ()

 0(  )
√ , which is not √ .
 (  ) =  0 (  ) · 12 −12 =

2 
2 
6. False.
 = 2 is a constant, so  0 = 0, not 2.
7. False.

(10 ) = 10 ln 10, which is not equal to 10−1 .

8. False.
ln 10 is a constant, so its derivative,
9. True.


(tan2 ) = 2 tan  sec2 , and
(sec2 ) = 2 sec  (sec  tan ) = 2 tan  sec2 .


Or:
10. False.

(ln 10), is 0, not

1
.
10



(sec2 ) =
(1 + tan2 ) =
(tan2 ).







 () = 2 +  = 2 +  for  ≥ 0 or  ≤ −1 and 2 +  = −(2 + ) for −1    0.
So  0 () = 2 + 1 for   0 or   −1 and  0 () = −(2 + 1) for −1    0. But |2 + 1| = 2 + 1
for  ≥ − 12 and |2 + 1| = −2 − 1 for   − 12 .
11. True.
If () =   + −1 −1 + · · · + 1  + 0 , then 0 () =  −1 + ( − 1)−1 −2 + · · · + 1 ,
which is a polynomial.
12. True.
 () = (6 − 4 )5 is a polynomial of degree 30, so its 31st derivative,  (31) (), is 0.
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°
296
¤
CHAPTER 3 DIFFERENTIATION RULES
13. True.
If () =
()
()0 () − () 0 ()
, then 0 () =
, which is a quotient of polynomials, that is, a rational
()
[()]2
function.
14. False.
A tangent line to the parabola  = 2 has slope  = 2, so at (−2 4) the slope of the tangent is 2(−2) = −4
and an equation of the tangent line is  − 4 = −4( + 2). [The given equation,  − 4 = 2( + 2), is not even
linear!]
15. True.
() = 5
⇒ 0 () = 54
() − (2)
=  0 (2) = 5(2)4 = 80.
−2
lim
→2
⇒  0 = 4(2 + 3 )3 (2 + 32 ) = 4(2 )3 (1 + )3 (2 + 3) = 47 ( + 1)3 (3 + 2)
1.  = (2 + 3 )4
1
= −12 − −35
3
1

⇒  0 (2) = 5(2)4 = 80, and by the definition of the derivative,
2.  = √ − √
5
1 −85
1
3
3
1
√

⇒  0 = − −32 + −85 or
− √ or
(−5110 + 6)
5
3
2
5
10
2

5 
3.  =
2 −  + 2
√
= 32 − 12 + 2−12

4.  =
tan 
1 + cos 
⇒ 0 =
⇒ 0 =
1
3 12 1 −12
3√
1

− 
− −32 =
− √ − √
2
2
2
2 
3
(1 + cos ) sec2  − tan (− sin )
(1 + cos ) sec2  + tan  sin 
=
2
(1 + cos )
(1 + cos )2
5.  = 2 sin 
⇒  0 = 2 (cos ) + (sin )(2) = ( cos  + 2 sin )
6.  =  cos−1 


1

⇒ 0 =  − √
+ (cos−1 )(1) = cos−1  − √
1 − 2
1 − 2
7.  =
8.
4 − 1
4 + 1
⇒ 0 =
(4 + 1)43 − (4 − 1)43
43 [(4 + 1) − (4 − 1)]
83
=
= 4
4
2
4
2
( + 1)
( + 1)
( + 1)2


( ) =
( sin ) ⇒   0 +  · 1 =  cos  + sin  ·  0


( − sin ) 0 =  cos  − 
9.  = ln( ln )
⇒ 0 =
⇒ 0 =
 cos  − 
 − sin 
1
1
( ln )0 =
 ln 
 ln 


1 + ln 
1
 · + ln  · 1 =

 ln 
Another method:  = ln( ln ) = ln  + ln ln  ⇒  0 =
10.  =  cos 
⇒   0 − sin  ·  0 =  cos  − 
1
1
ln  + 1
1
+
· =
 ln  
 ln 
⇒
 0 =  (cos )0 + cos  ( )0 =  (− sin  · ) + cos  ( · ) =  ( cos  −  sin )
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
⇒
CHAPTER 3 REVIEW
√
√
 cos  ⇒


√ 
√ 
√ 0
√ √ 0 √ 
√ 
 =  − sin  12 −12 + cos  12 −12
 0 =  cos  + cos 
11.  =
=
1 −12

2
√
√
√
 √
√
√  cos  −  sin 
√
−  sin  + cos  =
2 
1
4 arcsin 2
⇒  0 = 2(arcsin 2) · (arcsin 2)0 = 2 arcsin 2 · 
·2= √
1 − 42
1 − (2)2
12.  = (arcsin 2)2
1
2
13.  =
⇒ 0 =
14.  = ln sec 
15.
 0
2 (1 )0 − 1 2
2 (1 )(−12 ) − 1 (2)
−1 (1 + 2)
=
=
2
2
4
( )

4
⇒ 0 =
1
1 
(sec ) =
(sec  tan ) = tan 
sec  
sec 


( +  cos ) =
(2 ) ⇒  0 + (− sin  ·  0 ) + cos  · 1 = 2  0 +  · 2 ⇒


 0 −  sin  ·  0 − 2  0 = 2 − cos 
16.  =

0 = 4
=
17.  =
−1
2 +  + 1

4
−1
2 +  + 1
⇒ (1 −  sin  − 2 ) 0 = 2 − cos 
⇒ 0 =
2 − cos 
1 −  sin  − 2
⇒
3



−1
2 +  + 1


=4
−1
2 +  + 1
3
(2 +  + 1)(1) − ( − 1)(2 + 1)
(2 +  + 1)2
4( − 1)3 2 +  + 1 − 22 +  + 1
4( − 1)3 (−2 + 2 + 2)
=
(2 +  + 1)3
(2 +  + 1)2
(2 +  + 1)5
√
1
1

(arctan ) = √
arctan  ⇒  0 = (arctan )−12
2

2 arctan  (1 + 2 )
18.  = cot(csc )
⇒  0 = − csc2 (csc )

(csc ) = − csc2 (csc ) · (− csc  cot ) = csc2 (csc ) csc  cot 



⇒
1 + 2

 





1 − 2



(1 + 2 )(1) − (2)


2
2
 0 = sec2
=
sec
=
sec
·
1 + 2  1 + 2
1 + 2
(1 + 2 )2
(1 + 2 )2
1 + 2

19.  = tan
20.  =  sec 
21.  = 3 ln 
⇒  0 =  sec 

( sec ) =  sec  ( sec  tan  + sec  · 1) = sec   sec  ( tan  + 1)

⇒  0 = 3 ln  (ln 3)
22.  = sec(1 + 2 )
23.  = (1 − −1 )−1



1
( ln ) = 3 ln  (ln 3)  · + ln  · 1 = 3 ln  (ln 3)(1 + ln )


⇒  0 = 2 sec(1 + 2 ) tan(1 + 2 )
⇒
 0 = −1(1 − −1 )−2 [−(−1−2 )] = −(1 − 1)−2 −2 = −(( − 1))−2 −2 = −( − 1)−2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
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¤
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298
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CHAPTER 3 DIFFERENTIATION RULES

√ −13
1
√ = + 
+ 
24.  = 
3
25. sin() = 2 − 


√ −43
1+
⇒  0 = − 13  + 
⇒ cos()(0 +  · 1) = 2 −  0
 0 [ cos() + 1] = 2 −  cos() ⇒  0 =
1
√
2 

⇒  cos() 0 +  0 = 2 −  cos() ⇒
2 −  cos()
 cos() + 1
√
 √ −12  √  1 
 √
cos 
0
1
√
= 
cos 
26.  = sin  ⇒  = 2 sin 
√
2 
4  sin 
27.  = log5 (1 + 2)
28.  = (cos )
⇒ 0 =

2
1
(1 + 2) =
(1 + 2) ln 5 
(1 + 2) ln 5
⇒ ln  = ln(cos ) =  ln cos  ⇒
1
0
=·
· (− sin ) + ln cos  · 1 ⇒

cos 
 0 = (cos ) (ln cos  −  tan )
29.  = ln sin  −
1
2
sin2  ⇒  0 =
(2 + 1)4
(2 + 1)3 (3 − 1)5
30.  =
ln  = ln
1
· cos  −
sin 
1
2
· 2 sin  · cos  = cot  − sin  cos 
⇒
(2 + 1)4
= ln(2 + 1)4 − ln[(2 + 1)3 (3 − 1)5 ] = 4 ln(2 + 1) − [ln(2 + 1)3 + ln(3 − 1)5 ]
(2 + 1)3 (3 − 1)5
= 4 ln(2 + 1) − 3 ln(2 + 1) − 5 ln(3 − 1) ⇒
1
1
1
0
(2 + 1)4
=4· 2
· 2 − 3 ·
·2−5·
· 3 ⇒ 0 =

 +1
2 + 1
3 − 1
(2 + 1)3 (3 − 1)5
[The answer could be simplified to  0 = −
31.  =  tan−1 (4)
⇒ 0 =  ·
32.  = cos  + cos(  )

8
6
15
−
−
.
2 + 1
2 + 1
3 − 1
(2 + 56 + 9)(2 + 1)3
, but this is unnecessary.]
(2 + 1)4 (3 − 1)6
1
4
· 4 + tan−1 (4) · 1 =
+ tan−1 (4)
1 + (4)2
1 + 162
⇒  0 = cos  (− sin ) + [− sin(  ) ·   ] = − sin  cos  −   sin(  )
33.  = ln |sec 5 + tan 5|
0 =

⇒
1
5 sec 5 (tan 5 + sec 5)
(sec 5 tan 5 · 5 + sec2 5 · 5) =
= 5 sec 5
sec 5 + tan 5
sec 5 + tan 5
34.  = 10 tan 
⇒  0 = 10 tan  · ln 10 · sec2  ·  = (ln 10)10 tan  sec2 
35.  = cot(32 + 5)
⇒  0 = − csc2 (32 + 5)(6) = −6 csc2 (32 + 5)
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°
CHAPTER 3 REVIEW
36.  =
¤
299

 ln(4 ) ⇒
0 =


1
1
1
1
ln(4 ) + 4

[ ln(4 )]−12
[ ln(4 )] = 
· 1 · ln(4 ) +  · 4 · 43 = 
· [ln(4 ) + 4] = 
2


2  ln(4 )
2  ln(4 )
2  ln(4 )
√
√
Or: Since y is only defined for   0, we can write  =  · 4 ln  = 2  ln . Then


ln  + 1
1
1
0 = 2 · √
= √
· 1 · ln  +  ·
. This agrees with our first answer since

2  ln 
 ln 
4 ln  + 4
4(ln  + 1)
ln  + 1
ln(4 ) + 4

√
= √
=
= √
.
2  ln(4 )
2  · 4 ln 
2 · 2  ln 
 ln 

37.  = sin tan
√
√
√



 √


⇒  0 = cos tan 1 + 3 sec2 1 + 3 32 2 1 + 3
1 + 3
38.  =  sec−1 
39.  = 5 arctan


1
1
+ sec−1  · 1 = √
+ sec−1 
⇒ 0 = · √
2
  −1
2 − 1
1

⇒ 0 = 5 ·
40.  = sin−1 (cos )
1

 2 ·

1
1+

 
1
=



1
5
− 2 =− 2
1

 +1
1+ 2

5
⇒
1

sin 
1
0 = √
(cos ) = √
·
· (− sin ) = − √
1 − cos2  
1 − cos2 
1 − cos2 
=−
sin 
sin 
[sin2  + cos2  = 1 ⇒ sin  =
√
1 − cos2  for 0    ]
= −1
41.  =  tan−1  −
0 =  ·
1
2
ln(1 + 2 ) ⇒


1
1
+ tan−1  · 1 −
1 + 2
2
42.  = ln(arcsin 2 )
⇒ 0 =
2
1 + 2

=


+ tan−1  −
= tan−1 
1 + 2
1 + 2
1

1
1
2
√
(arcsin 2 ) =
·
·
· 2 =
2
2
arcsin 2 
arcsin 2
(arcsin 2 ) 1 − 4
1 − ( )
43.  = tan2 (sin ) = [tan(sin )]2
44.  + ln  = 2

⇒  0 = 2[tan(sin )] · sec2 (sin ) · cos 
⇒  0 + (1)  0 =  · 2  0 +  2 · 1 ⇒
[1 + (1) − 2]  0 =  2
⇒ 0 =
 0 + (1)  0 − 2  0 =  2
⇒

3
2
· =
1 + (1) − 2 
 + 1 − 22
√
 + 1 (2 − )5
1
−5
7
0
1
=
+
−
⇒
ln

=
ln(
+
1)
+
5
ln(2
−
)
−
7
ln(
+
3)
⇒
2
( + 3)7

2( + 1) 2 −   + 3
√


1
5
7
(2 − )4 (32 − 55 − 52)
 + 1 (2 − )5
0
√
−
−
or

=
.
0 =
( + 3)7
2( + 1) 2 −   + 3
2  + 1 ( + 3)8
45.  =
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°
⇒
300
¤
46.  =
CHAPTER 3 DIFFERENTIATION RULES
( + )4
4 + 4
⇒ 0 =
47.  =  sinh(2 )
48.  =
sin 

⇒  0 =  cosh(2 ) · 2 + sinh(2 ) · 1 = 22 cosh(2 ) + sinh(2 )
⇒ 0 =
49.  = ln(cosh 3)
(4 + 4 )(4)( + )3 − ( + )4(43 )
4( + )3 (4 − 3 )
=
4 2
4
( +  )
(4 + 4 )2
 · cos  ·  − sin  · 1
 cos  − sin 
=
()2
2
⇒  0 = (1 cosh 3)(sinh 3)(3) = 3 tanh 3

 2

 − 4

2( + 1)( + 4)
2
 = ln 2 − 4 − ln |2 + 5| ⇒  0 = 2 −

or
50.  = ln 
2 + 5 
2 − 4
2 + 5
( + 2)( − 2)(2 + 5)
51.  = cosh−1 (sinh )
√
52.  =  tanh−1 

√
tan 3

53.  = cos 
1
cosh 
⇒ 0 = 
· cosh  = 
(sinh )2 − 1
sinh2  − 1
√
⇒  0 = tanh−1  + 
√
√
1
1

−1
√

+
=
tanh
√ 2
2(1 − )
2

1−

⇒
  √
0
 √
 √
 √
 0 = − sin  tan 3 ·  tan 3 = − sin  tan 3  tan 3 · 12 (tan 3)−12 · sec2 (3) · 3
 √
 √
−3 sin  tan 3  tan 3 sec2 (3)
√
=
2 tan 3

54.  = sin2 cos
  
2
√
√
sin  = sin cos sin 
⇒
 
 
0




0
√
√
√
√
√
 0 = 2 sin cos sin 
sin cos sin 
= 2 sin cos sin  cos cos sin  cos sin 




√
0
√
√
√
= 2 sin cos sin  cos cos sin  − sin sin 
sin 




√
√
√
= −2 sin cos sin  cos cos sin  sin sin  · 12 (sin )−12 (sin )0




√
√
√
− sin cos sin  cos cos sin  sin sin 
√
=
· cos  · 
sin 


 √

√
√
− sin cos sin  cos cos sin  sin sin  cos 
√
=
sin 
55.  () =
√
4 + 1 ⇒  0 () =
1
(4
2
+ 1)−12 · 4 = 2(4 + 1)−12
⇒
4
.
 00 () = 2(− 12 )(4 + 1)−32 · 4 = −4(4 + 1)32 , so  00 (2) = −4932 = − 27
⇒  0 () =  cos  + sin  · 1 ⇒  00 () = (− sin ) + cos  · 1 + cos  = 2 cos  −  sin ,
√
√

so  00 (6) = 2 cos(6) − (6) sin(6) = 2 32 − (6)(12) = 3 − 12.
56. () =  sin 
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°
CHAPTER 3 REVIEW
⇒ 65 + 6 5  0 = 0 ⇒  0 = −55
57. 6 +  6 = 1
 00 = −
⇒




54  4  − (−55 )
54 ( 6 + 6 )5
 5 (54 ) − 5 (5 4  0 )
54
=
−
=
−
= − 11
5
2
10
6
( )



58.  () = (2 − )−1
⇒  0 () = (2 − )−2
⇒  00 () = 2(2 − )−3
⇒  000 () = 2 · 3(2 − )−4
 (4) () = 2 · 3 · 4(2 − )−5 . In general,  () () = 2 · 3 · 4 · · · · · (2 − )−(+1) =
59. We first show it is true for  = 1:  () = 
⇒
!
.
(2 − )(+1)
⇒  0 () =  +  = ( + 1) . We now assume it is true
for  = :  () () = ( + ) . With this assumption, we must show it is true for  =  + 1:
 (+1) () =
  () 

 () =
[( + ) ] = ( + ) +  = [( + ) + 1] = [ + ( + 1)] .


Therefore,  () () = ( + ) by mathematical induction.
60. lim
→0
3 cos3 (2)
cos3 (2)
1
1
1
3
= lim
= lim 
=
= lim cos3 (2) ·
3 =
3
3
3
→0
→0
tan (2) →0 sin (2)
8 · 13
8
sin (2)
sin(2)
8
8 lim
(2)3
→0
2
61.  = 4 sin2 
is  − 1 = 2
62.  =
2 − 1
2 + 1
⇒  0 = 4 · 2 sin  cos . At

 0
, =8·
61
√
√
√ 

3  − 6 , or  = 2 3  + 1 −  33.
⇒ 0 =
1
2
·
√
3
2
=2
√
3, so an equation of the tangent line
(2 + 1)(2) − (2 − 1)(2)
4
= 2
.
( + 1)2
(2 + 1)2
At (0 −1),  0 = 0, so an equation of the tangent line is  + 1 = 0( − 0), or  = −1.
63.  =
√
2 cos 
1 + 4 sin  ⇒  0 = 12 (1 + 4 sin )−12 · 4 cos  = √
.
1 + 4 sin 
2
At (0 1),  0 = √ = 2, so an equation of the tangent line is  − 1 = 2( − 0), or  = 2 + 1.
1
64. 2 + 4 +  2 = 13
⇒ 2 + 4(0 +  · 1) + 2 0 = 0 ⇒  + 20 + 2 +  0 = 0 ⇒
20 +  0 = − − 2
At (2 1),  0 =
⇒  0 (2 + ) = − − 2
⇒ 0 =
− − 2
.
2 + 
4
−2 − 2
= − , so an equation of the tangent line is  − 1 = − 45 ( − 2), or  = − 45  +
4+1
5
13
.
5
The slope of the normal line is 54 , so an equation of the normal line is  − 1 = 54 ( − 2), or  = 54  − 32 .
65.  = (2 + )−
⇒  0 = (2 + )(−− ) + − · 1 = − [−(2 + ) + 1] = − (− − 1).
At (0 2),  0 = 1(−1) = −1, so an equation of the tangent line is  − 2 = −1( − 0), or  = − + 2.
The slope of the normal line is 1, so an equation of the normal line is  − 2 = 1( − 0), or  =  + 2.
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°
¤
301
302
¤
CHAPTER 3 DIFFERENTIATION RULES
66.  () = sin 
⇒  0 () = [sin  (cos )] + sin  (1) = sin  ( cos  + 1). As a check on our work, we notice from the
graphs that  0 ()  0 when  is increasing. Also, we see in the larger viewing rectangle a certain similarity in the graphs of 
and  0 : the sizes of the oscillations of  and  0 are linked.
√
5− ⇒
√


√
√
−
2(5 − )
−
2 5−
1
+ 5−· √
= √
+ √
 0 () =  (5 − )−12 (−1) + 5 −  = √
2
2 5−
2 5−
2 5−
2 5−
67. (a)  () = 
=
10 − 3
− + 10 − 2
√
= √
2 5−
2 5−
(b) At (1 2):  0 (1) = 74 .
(c)
So an equation of the tangent line is  − 2 = 74 ( − 1) or  = 74  + 14 .
At (4 4):  0 (4) = − 22 = −1.
So an equation of the tangent line is  − 4 = −1( − 4) or  = − + 8.
(d)
The graphs look reasonable, since  0 is positive where  has tangents with
positive slope, and  0 is negative where  has tangents with negative slope.
68. (a)  () = 4 − tan 
⇒  0 () = 4 − sec2  ⇒  00 () = −2 sec  (sec  tan ) = −2 sec2  tan .
We can see that our answers are reasonable, since the graph of  0 is 0 where
(b)
 has a horizontal tangent, and the graph of  0 is positive where  has
tangents with positive slope and negative where  has tangents with
negative slope. The same correspondence holds between the graphs of  0
and  00 .
69.  = sin  + cos 
⇒  0 = cos  − sin  = 0 ⇔ cos  = sin  and 0 ≤  ≤ 2
√ 
 √ 

are 4  2 and 5
− 2 .
4
⇔ =

4
or
5
,
4
so the points
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°
CHAPTER 3 REVIEW
⇒ 2 + 4 0 = 0 ⇒  0 = −(2) = 1 ⇔  = −2. Since the points lie on the ellipse,




we have (−2)2 + 2 2 = 1 ⇒ 6 2 = 1 ⇒  = ± √16 . The points are − √26  √16 and √26  − √16 .
70. 2 + 2 2 = 1
71.  () = ( − )( − )( − )
So
⇒  0 () = ( − )( − ) + ( − )( − ) + ( − )( − ).
 0 ()
( − )( − ) + ( − )( − ) + ( − )( − )
1
1
1
=
=
+
+
.
()
( − )( − )( − )
−
−
−
Or: () = ( − )( − )( − ) ⇒ ln | ()| = ln | − | + ln | − | + ln | − | ⇒
1
1
1
 0 ()
=
+
+
 ()
−
−
−
72. (a) cos 2 = cos2  − sin2 
⇒ −2 sin 2 = −2 cos  sin  − 2 sin  cos  ⇔ sin 2 = 2 sin  cos 
(b) sin( + ) = sin  cos  + cos  sin  ⇒ cos( + ) = cos  cos  − sin  sin .
73. (a) () =  () + ()
⇒  0 () =  0 () + 0 () ⇒  0 (1) =  0 (1) + 0 (1) = 3 + 1 = 4
(b)  () =  () () ⇒  0 () =  () 0 () + ()  0 () ⇒
 0 (2) =  (2)  0 (2) + (2) 0 (2) = 1(4) + 1(2) = 4 + 2 = 6
(c) () =
0 (1) =
()
()
⇒ 0 () =
()  0 () −  () 0 ()
[()]2
⇒
7
(1)  0 (1) −  (1) 0 (1)
3(3) − 2(1)
9−2
=
=
=
[(1)]2
32
9
9
(d) () =  (()) ⇒  0 () =  0 (()) 0 () ⇒  0 (2) =  0 ((2))  0 (2) =  0 (1) · 4 = 3 · 4 = 12
⇒  0 () =  () 0 () + ()  0 () ⇒




 0 (2) =  (2)  0 (2) + (2)  0 (2) = (1) 6−0
+ (4) 0−3
= (1)(2) + (4)(−1) = 2 − 4 = −2
3−0
3−0
74. (a)  () =  () ()
(b) () =
0 (2) =
()
()
⇒ 0 () =
()  0 () −  () 0 ()
[()]2
⇒
3
(2)  0 (2) −  (2) 0 (2)
(4)(−1) − (1)(2)
−6
=−
=
=
[(2)]2
42
16
8
(c) () =  (()) ⇒  0 () =  0 (()) 0 () ⇒


(2) = (3)(2) = 6
 0 (2) =  0 ((2)) 0 (2) =  0 (4) 0 (2) = 6−0
5−3
75.  () = 2 ()
76.  () = (2 )
⇒  0 () = 2  0 () + ()(2) or [0 () + 2()]
⇒  0 () = 0 (2 )(2) = 20 (2 )
77.  () = [ ()]2
⇒  0 () = 2[ ()] ·  0 () = 2() 0 ()
78.  () = (())
⇒  0 () = 0 (())  0 ()
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304
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CHAPTER 3 DIFFERENTIATION RULES
79.  () = ( )
⇒  0 () = 0 ( ) 
80.  () = ()
⇒  0 () = ()  0 ()
81.  () = ln |()|
82.  () = (ln )
⇒  0 () =
⇒  0 () =  0 (ln ) ·
 () ()
 () + ()
83. () =
0 () =
1 0
 0 ()
 () =
()
()
 0 (ln )
1
=


⇒
[ () + ()] [ ()  0 () + ()  0 ()] −  () () [ 0 () +  0 ()]
[ () + ()]2
=
[ ()]2  0 () +  () ()  0 () +  () () 0 () + [ ()]2  0 () −  () ()  0 () −  () ()  0 ()
[() + ()]2
=
 0 () [ ()]2 +  0 () [ ()]2
[ () + ()]2
84. () =

 ()
()
⇒ 0 () =
 0 () () −  ()  0 ()
 0 () () −  () 0 ()


=
2
2  ()() [()]
2[()]32  ()
85. Using the Chain Rule repeatedly, () =  ((sin 4))
0 () =  0 ((sin 4)) ·
⇒


((sin 4)) =  0 ((sin 4)) ·  0 (sin 4) ·
(sin 4) =  0 ((sin 4)) 0 (sin 4)(cos 4)(4).


86. (a)
(b) The average rate of change is larger on [2 3].
(c) The instantaneous rate of change (the slope of the tangent) is larger at  = 2.
(d)  () =  − 2 sin  ⇒  0 () = 1 − 2 cos ,
so  0 (2) = 1 − 2 cos 2 ≈ 18323 and  0 (5) = 1 − 2 cos 5 ≈ 04327.
So  0 (2)   0 (5), as predicted in part (c).
87.  = [ln( + 4)]2
 + 4 = 0
⇒
⇒  0 = 2[ln( + 4)]1 ·
ln( + 4)
1
·1=2
and  0 = 0 ⇔ ln( + 4) = 0 ⇔
+4
+4
 + 4 = 1 ⇔  = −3, so the tangent is horizontal at the point (−3 0).
88. (a) The line  − 4 = 1 has slope 14 . A tangent to  =  has slope
Since  =  , the ­coordinate is
is  −
1
4
1
4
when  0 =  = 14 ⇒  = ln 14 = − ln 4.


and the point of tangency is − ln 4 14 . Thus, an equation of the tangent line
1
4
= 14 ( + ln 4) or  = 14  + 14 (ln 4 + 1).
(b) The slope of the tangent at the point (  ) is

  
 
=  . Thus, an equation of the tangent line is

=
 −  =  ( − ). We substitute  = 0,  = 0 into this equation, since we want the line to pass through the origin:
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CHAPTER 3 REVIEW
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305
0 −  =  (0 − ) ⇔ − =  (−) ⇔  = 1. So an equation of the tangent line at the point (  ) = (1 )
is  −  = ( − 1) or  = .
89.  = () = 2 +  + 
⇒  0 () = 2 + . We know that  0 (−1) = 6 and  0 (5) = −2, so −2 +  = 6 and
10 +  = −2. Subtracting the first equation from the second gives 12 = −8 ⇒  = − 23 . Substituting − 23 for  in the
first equation gives  =
14
3 .
Now  (1) = 4 ⇒ 4 =  +  + , so  = 4 +
2
3
−
14
3
= 0 and hence,  () = − 23 2 +
14
3 .
90. (a) lim () = lim [(− − − )] =  lim (− − − ) = (0 − 0) = 0 because − → −∞ and − → −∞
→∞
→∞
→∞
as  → ∞.
(b) () = (− − − ) ⇒  0 () = (− (−) − − (−)) = (−− + − )
(c)  0 () = 0 ⇔ − = −
91. () = − cos( + )
⇔

= (−+)

⇔ ln
ln()

= ( − ) ⇔  =

−
⇒
() = 0 () = {− [− sin( + )] + cos( + )(−− )} = −− [ sin( + ) +  cos( + )] ⇒
() =  0 () = −{− [2 cos( + ) −  sin( + )] + [ sin( + ) +  cos( + )](−− )}
= −− [2 cos( + ) −  sin( + ) −  sin( + ) − 2 cos( + )]
= −− [(2 − 2 ) cos( + ) − 2 sin( + )] = − [(2 − 2 ) cos( + ) + 2  sin( + )]
92. (a)  =
√
2 + 2 2
() =  0 () =
2
√

  √
⇒ () = 0 = 1 2 2 + 2 2 22  = 2  2 + 2 2
√
√


2 + 2 2 − 2  2  2 + 2 2
2 2
=
2
2
2
2
 + 
( + 2 2 )32
⇒
(b) ()  0 for   0, so the particle always moves in the positive direction.
93. (a)  = 3 − 12 + 3
⇒ () =  0 = 32 − 12 ⇒ () =  0 () = 6
(b) () = 3(2 − 4)  0 when   2, so it moves upward when   2 and downward when 0 ≤   2.
(c) Distance upward = (3) − (2) = −6 − (−13) = 7,
Distance downward = (0) − (2) = 3 − (−13) = 16. Total distance = 7 + 16 = 23.
(d)
(e) The particle is speeding up when  and  have the same sign, that is,
when   2. The particle is slowing down when  and  have opposite
signs; that is, when 0    2.
94. (a)  = 13 2 
⇒   = 13 2
[ constant]
(b)  = 13 2  ⇒   = 23  [ constant]
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CHAPTER 3 DIFFERENTIATION RULES
95. The linear density  is the rate of change of mass  with respect to length .

√ 
 =  1 +  =  + 32
⇒  =  = 1 +
96. (a) () = 920 + 2 − 0022 + 0000073
3
2
√
√
, so the linear density when  = 4 is 1 + 32 4 = 4 kgm.
⇒  0 () = 2 − 004 + 0000212
(b)  0 (100) = 2 − 4 + 21 = $010unit. This value represents the rate at which costs are increasing as the hundredth unit is
produced, and is the approximate cost of producing the 101st unit.
(c) The cost of producing the 101st item is (101) − (100) = 99010107 − 990 = $010107, slightly larger than  0 (100).
97. (a) () = (0) = 200
⇒ (05) = 20005 = 360 ⇒ 05 = 18 ⇒ 05 = ln 18 ⇒
 = 2 ln 18 = ln(18)2 = ln 324
() = 200(ln 324) = 200(324)
⇒
(b) (4) = 200(324)4 ≈ 22,040 cells
(c)  0 () = 200(324) · ln 324, so  0 (4) = 200(324)4 · ln 324 ≈ 25,910 cells per hour
(d) 200(324) = 10,000 ⇒
(324) = 50 ⇒  ln 324 = ln 50 ⇒  = ln 50 ln 324 ≈ 333 hours
98. (a) If () is the mass remaining after  years, then () = (0) = 100 . (524) = 100524 =
524 =
1
2
1
2
· 100 ⇒
1
⇒ 524 = − ln 2 ⇒  = − 524
ln 2 ⇒ () = 100−(ln 2)524 = 100 · 2−524 . Thus,
(20) = 100 · 2−20524 ≈ 71 mg.
(b) 100 · 2−524 = 1 ⇒ 2−524 =
99. (a)  0 () = −()
1
100
⇒ −

1
ln 2 = ln
524
100
⇒  = 524
ln 100
≈ 348 years
ln 2
⇒ () = (0)− by Theorem 3.8.2. But (0) = 0 , so () = 0 − .
(b) (30) = 12 0 since the concentration is reduced by half. Thus, 12 0 = 0 −30
⇒ ln 12 = −30
⇒
ln 2. Since 10% of the original concentration remains if 90% is eliminated, we want the value of 
1
 = − 30
ln 12 =
1
30
such that () =
1
 .
10 0
Therefore,
100. (a) If  =  − 20, (0) = 80
1

10 0
= 0 −(ln 2)30
⇒ ln 01 = −(ln 2)30 ⇒  = − ln302 ln 01 ≈ 100 h.
⇒ (0) = 80 − 20 = 60, and the initial­value problem is  =  with (0) = 60.
So the solution is () = 60 . Now (05) = 60(05) = 60 − 20 ⇒ 05 =
so () = 60(ln 49) = 60( 49 ) . Thus, (1) = 60( 49 )1 =
80
3
40
60
=
2
3
⇒  = 2 ln 23 = ln 49 ,
= 26 23 ◦ C and (1) = 46 23 ◦ C.
 
 
4
4
1
(b) () = 40 ⇒ () = 20. () = 60
= 20 ⇒
=
9
9
3
⇒  ln
4
1
= ln
9
3
⇒ =
ln 13
≈ 135 h
ln 49
or 813 min.
101. If  = edge length, then  = 3
⇒  = 32  = 10 ⇒  = 10(32 ) and  = 62
 = (12)  = 12[10(32 )] = 40. When  = 30,  =
40
30
=
4
3
⇒
cm2 min.
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°
CHAPTER 3 REVIEW
102. Given  = 2, find  when  = 5.  =
triangles,
2=

3
=

10
⇒  =
9 2 

=


100

⇒

3

3
10
2
=
2
1
3  
and, from similar
3 3
 , so
100

200
200
8
=
cms
=
=

92
9
9 (5)2
when  = 5.
103. Given  = 5 and  = 15, find .  2 = 2 + 2



= 2
+ 2
2



⇒

1
⇒
= (15 + 5). When  = 3,


√
 = 45 + 3(5) = 60 and  = 15(3) = 45 ⇒  = 452 + 602 = 75,
so
1

=
[15(45) + 5(60)] = 13 fts.

75
104. We are given  = 30 fts. By similar triangles,
4

= √

241
⇒
4 
120
4

= √
= √
= √
, so
≈ 77 fts.

241
241 
241
105. We are given  = −025 radh. tan  = 400
 = 400 cot 
⇒
⇒


= −400 csc2  . When  =



,
6

= −400(2)2 (−025) = 400 fth.

106. (a)  () =
√
25 − 2
⇒  0 () =
2
−2
√
= −(25 − 2 )−12 .
25 − 2
(b)
So the linear approximation to () near 3
is  () ≈  (3) +  0 (3)( − 3) = 4 − 34 ( − 3).
√
(c) For the required accuracy, we want 25 − 2 − 01  4 − 34 ( − 3) and
√
4 − 34 ( − 3)  25 − 2 + 01. From the graph, it appears that these both
hold for 224    366.
√
3
1 + 3 = (1 + 3)13
⇒  0 () = (1 + 3)−23 , so the linearization of  at  = 0 is
√
() =  (0) +  0 (0)( − 0) = 113 + 1−23  = 1 + . Thus, 3 1 + 3 ≈ 1 +  ⇒

√
3
103 = 3 1 + 3(001) ≈ 1 + (001) = 101.
107. (a)  () =
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°
¤
307
308
¤
CHAPTER 3 DIFFERENTIATION RULES
√
(b) The linear approximation is 3 1 + 3 ≈ 1 + , so for the required accuracy
√
√
we want 3 1 + 3 − 01  1 +   3 1 + 3 + 01. From the graph,
it appears that this is true when −0235    0401.
108.  = 3 − 22 + 1


⇒  = (32 − 4) . When  = 2 and  = 02,  = 3(2)2 − 4(2) (02) = 08.


 1 2 

= 1 + 8 2 ⇒  = 2 + 4  . When  = 60
2


and  = 01,  = 2 + 4 60(01) = 12 + 3
, so the maximum error is
2
109.  = 2 + 12 
approximately 12 +
3
2
≈ 167 cm2 .


17 − 1
 17
=

110. lim
= 17(1)16 = 17
→1  − 1

=1
√



4

1
1
1
16 +  − 2
 √
4
=

= −34 
= √
3 =


4
32
4 4 16
 = 16
 = 16
111. lim
→0
112.
√




cos  − 05
3
=
cos 
= − sin = −
→3  − 3

3
2
 = 3
lim
113. lim
→0
√
√

√
√
√
√
1 + tan  − 1 + sin 
1 + tan  + 1 + sin 
1 + tan  − 1 + sin 
√

√
=
lim
→0
3
3
1 + tan  + 1 + sin 
= lim
→0
= lim
→0
3
3
(1 + tan ) − (1 + sin )
sin  (1 cos  − 1)
cos 
√
 = lim √
·
√
√
3
→0
cos

1 + tan  + 1 + sin 

1 + tan  + 1 + sin 
1 + cos 
sin  (1 − cos )
√

√
·
1 + tan  + 1 + sin  cos  1 + cos 
sin  · sin2 
√

√
1 + tan  + 1 + sin  cos  (1 + cos )
3

sin 
1

√
lim √
= lim
→0
→0

1 + tan  + 1 + sin  cos  (1 + cos )
= lim
→0 3
1
1
√ 
= 13 · √
=
4
1 + 1 · 1 · (1 + 1)
114. Differentiating the first given equation implicitly with respect to  and using the Chain Rule, we obtain  (()) = 
 0 (()) 0 () = 1 ⇒  0 () =
gives  0 () =
⇒
1
. Using the second given equation to expand the denominator of this expression
 0 (())
1
1
. But the first given equation states that  (()) = , so  0 () =
.
1 + [(())]2
1 + 2
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°
CHAPTER 3 REVIEW
115.

[ (2)] = 2

⇒  0 (2) · 2 = 2
⇒  0 (2) = 12 2 . Let  = 2. Then  0 () =
116. Let ( ) be on the curve, that is, 23 + 23 = 23 . Now 23 +  23 = 23
⇒
1
2
¤
309
 1 2
 = 18 2 , so  0 () = 18 2 .
2
2 −13
3
+ 23  −13

= 0, so

  13
 13

= − 13 = −
, so at ( ) the slope of the tangent line is −()13 and an equation of the tangent line is



 −  = −()13 ( − ) or  = −()13  + ( + 23 13 ). Setting  = 0, we find that the ­intercept is
13 23 +  = 13 (23 + 23 ) = 13 23 and setting  = 0 we find that the ­intercept is
 + 23 13 = 13 (23 + 23 ) = 13 23 . So the length of the tangent line between these two points is


√
(13 23 )2 + (13 23 )2 = 23 43 + 23 43 = (23 + 23 )43
√
√
= 23 43 = 2 =  = constant
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°
PROBLEMS PLUS
1. Let  be the ­coordinate of . Since the derivative of  = 1 − 2 is  0 = −2, the slope at  is −2. But since the triangle
√
√
√
√
31, so the slope at  is − 3. Therefore, we must have that −2 = − 3 ⇒  = 23 .
√

 √

 √ 2   √
3
= 23  14 and by symmetry,  has coordinates − 23  14 .
Thus, the point  has coordinates 2  1 − 23
is equilateral,  =
2.  = 3 − 3 + 4
⇒  0 = 32 − 3, and  = 3(2 − ) ⇒  0 = 6 − 3.
The slopes of the tangents of the two curves are equal when 32 − 3 = 6 − 3;
that is, when  = 0 or 2. At  = 0, both tangents have slope −3, but the curves do
not intersect. At  = 2, both tangents have slope 9 and the curves intersect at
(2 6). So there is a common tangent line at (2 6),  = 9 − 12.
We must show that  (in the figure) is halfway between  and , that is,
3.
 = ( + )2. For the parabola  = 2 +  + , the slope of the tangent line is
given by  0 = 2 + . An equation of the tangent line at  =  is
 − (2 +  + ) = (2 + )( − ). Solving for  gives us
 = (2 + ) − 22 −  + (2 +  + )
or
 = (2 + ) +  − 2
(1)
Similarly, an equation of the tangent line at  =  is
 = (2 + ) +  − 2
(2)
We can eliminate  and solve for  by subtracting equation (1) from equation (2).
[(2 + ) − (2 + )] − 2 + 2 = 0
(2 − 2) =  2 − 2
2( − ) = ( 2 − 2 )
=
+
( + )( − )
=
2( − )
2
Thus, the ­coordinate of the point of intersection of the two tangent lines, namely , is ( + )2.
4. We could differentiate and then simplify or we can simplify and then differentiate. The latter seems to be the simpler method.
cos 
sin 
cos2 
sin2 
cos2 
sin3 
cos3 
sin2 
·
·
+
=
+
=
+
cos

sin  cos 
1 + cot 
1 + tan 
sin 
sin  + cos  cos  + sin 
1+
1+
sin 
cos 
=
sin3  + cos3 
sin  + cos 
[factor sum of cubes]
=
(sin  + cos )(sin2  − sin  cos  + cos2 )
sin  + cos 
= sin2  − sin  cos  + cos2  = 1 − sin  cos  = 1 − 12 (2 sin  cos ) = 1 −
Thus,



sin2 
cos2 
+
1 + cot  1 + tan 

=
 
1−

1
2

sin 2 = − 12 cos 2 · 2 = − cos 2.
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°
1
2
sin 2
311
312
¤
CHAPTER 3 PROBLEMS PLUS
5. Using  0 () = lim
→
 () −  ()
sec  − sec 
, we recognize the given expression,  () = lim
, as 0 ()
→
−
−
with () = sec . Now  0 ( 4 ) = 00 ( 4 ), so we will find  00 (). 0 () = sec  tan  ⇒
 00 () = sec  sec2  + tan  sec  tan  = sec (sec2  + tan2 ), so  00 ( 4 ) =
√ √ 2
√
√
2( 2 + 12 ) = 2(2 + 1) = 3 2.
√
3
√
5
 () −  (0)
 +  − 2
, we see that for the given equation, lim
=
, we have  () = 3  + ,
→0
→0
−0

12
√
5
. Now (0) = 2 ⇔ 3  = 2 ⇔  = 8. Also  0 () = 13 ( + )−23 · , so
 (0) = 2, and  0 (0) = 12
6. Using  0 (0) = lim
 0 (0) =
5
12
⇔
1
(8)−23
3
·=
5
12
⇔
1 1
( )
3 4
=
5
12
⇔  = 5.
7. Let  = tan−1 . Then tan  = , so from the triangle we see that

sin(tan−1 ) = sin  = √
 Using this fact we have that
1 + 2
sinh 
sinh 
= tanh .
=
sin(tan−1 (sinh )) = 
2
cosh

1 + sinh 
Hence, sin−1 (tanh ) = sin−1 (sin(tan−1 (sinh ))) = tan−1 (sinh ).
8. We find the equation of the parabola by substituting the point (−100 100), at which the car is situated, into the general
equation  = 2 : 100 = (−100)2
⇒ =
(0  0 ). We can show that  0 = (2) =
1
.
100
1
(2)
100
=
Now we find the equation of a tangent to the parabola at the point
1
,
50
so an equation of the tangent is  − 0 =
Since the point (0  0 ) is on the parabola, we must have 0 =
=
1
2
100 0
+
1
 (
50 0
1
2
− 0 ).
so our equation of the tangent can be simplified to
− 0 ). We want the statue to be located on the tangent line, so we substitute its coordinates (100 50)
into this equation: 50 =
0 =
2
1
100 0 ,
1
 (
50 0
1
2
100 0
+
1
 (100
50 0
− 0 ) ⇒ 20 − 2000 + 5000 = 0 ⇒



√
200 ± 2002 − 4(5000)
⇒ 0 = 100 ± 50 2. But 0  100, so the car’s headlights illuminate the statue
√ 
√

when it is located at the point 100 − 50 2 150 − 100 2 ≈ (293 86), that is, about 293 m east and 86 m north of
the origin.
9. We use mathematical induction. Let  be the statement that

(sin4  + cos4 ) = 4−1 cos(4 + 2).

1 is true because



(sin4  + cos4 ) = 4 sin3  cos  − 4 cos3  sin  = 4 sin  cos  sin2  − cos2  

= −4 sin  cos  cos 2 = −2 sin 2 cos 2 = − sin 4 = sin(−4)






= cos 2 − (−4) = cos 2 + 4 = 4−1 cos 4 +  2 when  = 1
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
[continued]
¤
CHAPTER 3 PROBLEMS PLUS
313



  4
sin  + cos4  = 4−1 cos 4 +  2 . Then



 



  −1

4
4
4
(sin4  + cos4 ) =
(sin

+
cos
)
=
cos 4 +  2
 

Now assume  is true, that is,
+1
+1
which shows that +1 is true.
Therefore,
  




4 +  2 = −4 sin 4 +  2
= −4−1 sin 4 +  2 ·








= 4 sin −4 −  2 = 4 cos 2 − −4 −  2 = 4 cos 4 + ( + 1) 2



(sin4  + cos4 ) = 4−1 cos 4 +  2 for every positive integer , by mathematical induction.

Another proof: First write
sin4  + cos4  = (sin2  + cos2 )2 − 2 sin2  cos2  = 1 −
Then we have
10. lim
→


(sin4  + cos4 ) =




1
2
sin2 2 = 1 − 14 (1 − cos 4) =
3
4
+
1
4
cos 4



1
1


3
+ cos 4 = · 4 cos 4 + 
= 4−1 cos 4 +  .
4
4
4
2
2

√ 
√


√ 
 () −  () √
 () −  ()
+ 
 () −  ()
√
√
√
√ ·√
√
= lim
·
+ 
= lim
→
→
−
− 
− 
+ 
= lim
→
√
√
√ 
√ 
√
 () −  ()
· lim
 +  =  0 () ·
 +  = 2   0 ()
→
−
11. We must find a value 0 such that the normal lines to the parabola  = 2 at  = ±0 intersect at a point one unit from the


points ±0  20 . The normals to  = 2 at  = ±0 have slopes −


1
and pass through ±0  20 respectively, so the
±20
1
1
1
( − 0 ) and  − 20 =
( + 0 ). The common ­intercept is 20 + .
20
20
2




We want to find the value of 0 for which the distance from 0 20 + 12 to 0  20 equals 1. The square of the distance is
normals have the equations  − 20 = −
2


(0 − 0)2 + 20 − 20 + 12
= 20 +


the center of the circle is at 0 54 .
1
4
= 1 ⇔ 0 = ±
√
3
2 .
For these values of 0 , the ­intercept is 20 +
1
2
= 54 , so
Another solution: Let the center of the circle be (0 ). Then the equation of the circle is 2 + ( − )2 = 1.
Solving with the equation of the parabola,  = 2 , we get 2 + (2 − )2 = 1 ⇔ 2 + 4 − 22 + 2 = 1 ⇔
4 + (1 − 2)2 + 2 − 1 = 0. The parabola and the circle will be tangent to each other when this quadratic equation in 2
has equal roots; that is, when the discriminant is 0. Thus, (1 − 2)2 − 4(2 − 1) = 0 ⇔


1 − 4 + 42 − 42 + 4 = 0 ⇔ 4 = 5, so  = 54 . The center of the circle is 0 54 .
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°
314
¤
CHAPTER 3 PROBLEMS PLUS
12. See the figure. The parabolas  = 42 and  =  + 2 2 intersect each other
at right angles at the point ( ) if and only if ( ) satisfies both equations
and the tangent lines at ( ) are perpendicular.  = 42
and  =  + 2 2
have 8 = −
⇒ 1 = 4  0
1
1(4)
⇒ 0 =
⇒  0 = 8
1
, so at ( ) we must
4
⇒ 8 = −4 ⇒  = −2. Since ( ) is on both parabolas, we have (1)  = 42 and (2)
 =  + 22 . Substituting −2 for  in (1) gives us −2 = 42
⇒ 42 + 2 = 0 ⇒ 2(2 + 1) = 0 ⇒  = 0 or
 = − 12 .
If  = 0, then  = 0 and  = 0, and the tangent lines at (0 0) are  = 0 and  = 0.
 


If  = − 12 , then  = −2 − 12 = 1 and − 12 =  + 2(1)2 ⇒  = − 52 , and the tangent lines at − 12  1 are



 

 − 1 = −4  + 12 [or  = −4 − 1] and  − 1 = 14  + 12
or  = 14  + 98 .
13. See the figure. Clearly, the line  = 2 is tangent to both circles at the point
(0 2). We’ll look for a tangent line  through the points ( ) and ( ), and if
such a line exists, then its reflection through the ­axis is another such line. The
slope of  is the same at ( ) and ( ). Find those slopes: 2 +  2 = 4 ⇒

 
=−
and 2 + ( − 3)2 = 1 ⇒
2 + 2  0 = 0 ⇒  0 = −






2 + 2( − 3) 0 = 0 ⇒  0 = −
=−
.
−3
−3



2

or  = −  +
+
Now an equation for  can be written using either point­slope pair, so we get  −  = − ( − )





2





( − )
or  = −
+
+  . The slopes are equal, so − = −
⇔
and  −  = −
−3
−3
−3

−3
 2


 − 3 = . Since ( ) is a solution of 2 + ( − 3)2 = 1 we have 2 + ( − 3)2 = 1, so 2 +
=1 ⇒


2 2 + 2 2 = 2
Now  − 3 =


⇒ 2 (2 + 2 ) = 2
⇒ =3+


2
(2)2

+ =
+ 3+

2
2
⇒ 42 = 2
[since ( ) is a solution of 2 +  2 = 4] ⇒  = 2.


2
2
, so  = 3 + . The ­intercepts are equal, so
+=
+ ⇔
2
2

−3
 2


2

⇔
+=
+3+
(2) ⇔ 22 + 22 = 2 + 6 + 2 ⇔

2
2
2 + 2 = 6 ⇔ 4 = 6 ⇔  = 23 . It follows that  = 3 +
2
3
4
9
=
32
9
⇒ =
4
3
√
2,
√ 

√
(43) 2
4√
2
=
−

−
2.
Thus,

has
equation

−
2
⇔
3
3
23
3
√ 
√
√
√ 
= −2 2  − 43 2 ⇔  = −2 2  + 6. Its reflection has equation  = 2 2  + 6.
and 2 = 1 − ( − 3)2 = 1 −
−
10 2

=
,  = 4 − 2 = 4 −
2
3
 1 2
=
8
9
⇒ =
2
3
[continued]
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°
CHAPTER 3 PROBLEMS PLUS
In summary, there are three lines tangent to both circles:  = 2 touches at (0 2),  touches at
 √

 √

and its reflection through the ­axis touches at − 43 2 23 and − 23 2 10
.
3
¤
 √
4√ 2
and 23 2
3 2 3
315
10
3

,
45 ( + 1) + 2
45 ( + 1)
2
46 + 45 + 2
=
=
+
= 45 + 2( + 1)−1 , so
1+
+1
+1
+1
(46)

. The forty­sixth derivative of any forty­fifth degree polynomial is 0, so
 (46) () = (45 )(46) + 2 ( + 1)−1
14.  () =


(45 )46 = 0. Thus,  (46) () = 2 (−1)(−2)(−3) · · · (−46)( + 1)−47 = 2(46!)( + 1)−47 and  (46) (3) = 2(46!)(4)−47
or (46!)2−93 .
15. We can assume without loss of generality that  = 0 at time  = 0, so that  = 12 rad. [The angular velocity of the wheel
is 360 rpm = 360 · (2 rad)(60 s) = 12 rads.] Then the position of  as a function of time is
40 sin 
sin 
1

=
=
= sin 12.
12 m
120
3
3
1


= · 12 · cos 12 = 4 cos . When  = , we have
(a) Differentiating the expression for sin , we get cos  ·

3
3

√
√
 √ 2 

4 cos 3
1

2
4 3
3
3
11
sin  = sin  =
, so cos  = 1 −
and
=
= 
=
≈ 656 rads.
= √
3
6
6
12

cos 
11
1112
 = (40 cos  40 sin ) = (40 cos 12 40 sin 12), so sin  =
(b) By the Law of Cosines, | |2 = ||2 + | |2 − 2 || | | cos 
⇒
1202 = 402 + | |2 − 2 · 40 | | cos  ⇒ | |2 − (80 cos ) | | − 12,800 = 0 ⇒
√
√




√
| | = 12 80 cos  ± 6400 cos2  + 51,200 = 40 cos  ± 40 cos2  + 8 = 40 cos  + 8 + cos2  cm
[since | |  0]. As a check, note that | | = 160 cm when  = 0 and | | = 80
√
2 cm when  =

.
2
√


(c) By part (b), the ­coordinate of  is given by  = 40 cos  + 8 + cos2  , so




 
2 cos  sin 

cos 
=
= 40 − sin  − √
· 12 = −480 sin  1 + √
cms.

 
2 8 + cos2 
8 + cos2 
In particular,  = 0 cms when  = 0 and  = −480 cms when  =

.
2
16. The equation of 1 is  − 21 = 21 ( − 1 ) = 21  − 221 or  = 21  − 21 .
The equation of 2 is  = 22  − 22 . Solving for the point of intersection, we
get 2(1 − 2 ) = 21 − 22 ⇒  = 12 (1 + 2 ). Therefore, the coordinates




of  are 12 (1 + 2 ) 1 2 . So if the point of contact of  is  2 , then




1 is 12 ( + 1 ) 1 and 2 is 12 ( + 2 ) 2 . Therefore,
| 1 |2 = 14 ( − 2 )2 + 21 ( − 2 )2 = ( − 2 )2
1
4
| 1 |2 = 14 (1 − 2 )2 + 21 (1 − 2 )2 = (1 − 2 )2
So

+ 21 and
1
4

+ 21 .
| 2 |
 − 2
| 1 |2
( − 2 )2
| 2 |2
(1 − )2
| 1 |
1 − 
+
=
=
,
and
similarly
=
+
= 1.
2
2
2
2 . Finally,
|

|
|

|

−


1
2
1
2
1 − 2
| 1 |
(1 − 2 )
| 2 |
(1 − 2 )
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°
¤
316
CHAPTER 3 PROBLEMS PLUS
17. Consider the statement that
 
( sin ) =   sin( + ). For  = 1,

 
( sin ) =  sin  +  cos , and

 sin( + ) =  [sin  cos  + cos  sin ] = 
since tan  =


⇒ sin  =




sin  + cos  =  sin  +  cos 




and cos  = . So the statement is true for  = 1.


Assume it is true for  = . Then

   
+1 
  sin( + ) =   sin( + ) +    cos( + )
( sin ) =
+1

=   [ sin( + ) +  cos( + )]
But
sin[ + ( + 1)] = sin[( + ) + ] = sin( + ) cos  + sin  cos( + ) =


sin( + ) +


cos( + ).
Hence,  sin( + ) +  cos( + ) =  sin[ + ( + 1)]. So
+1 
( sin ) =   [ sin(+ )+  cos(+)] =   [ sin( +( + 1))] = +1  [sin(+ ( + 1))].
+1
Therefore, the statement is true for all  by mathematical induction.
18. We recognize this limit as the definition of the derivative of the function  () = sin  at  = , since it is of the form
lim
→
 () −  ()
. Therefore, the limit is equal to  0 () = (cos )sin  = −1 · 0 = −1.
−
19. It seems from the figure that as  approaches the point (0 2) from the right,  → ∞ and  → 2+ . As  approaches the
point (3 0) from the left, it appears that  → 3+ and  → ∞. So we guess that  ∈ (3 ∞) and  ∈ (2 ∞). It is
more difficult to estimate the range of values for  and  . We might perhaps guess that  ∈ (0 3),
and  ∈ (−∞ 0) or (−2 0).
In order to actually solve the problem, we implicitly differentiate the equation of the ellipse to find the equation of the
tangent line:
2
2
+
=1 ⇒
9
4
tangent line is  − 0 = −
2
2 0
4
+
 = 0, so  0 = −
. So at the point (0  0 ) on the ellipse, an equation of the
9
4
9
2
2
4 0
0  0 
+
= 0 + 0 = 1,
( − 0 ) or 40  + 90  = 420 + 902 . This can be written as
9 0
9
4
9
4
because (0  0 ) lies on the ellipse. So an equation of the tangent line is
Therefore, the ­intercept  for the tangent line is given by
by
0  0 
+
= 1.
9
4
0 
9
= 1 ⇔  =
, and the ­intercept  is given
9
0
4
0 
= 1 ⇔  = .
4
0
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°
CHAPTER 3 PROBLEMS PLUS
¤
317
So as 0 takes on all values in (0 3),  takes on all values in (3 ∞), and as 0 takes on all values in (0 2),  takes on
At the point (0  0 ) on the ellipse, the slope of the normal line is −
all values in (2 ∞).
9 0
1
=
, and its
 0 (0  0 )
4 0
9 0
9 0
( − 0 ). So the ­intercept  for the normal line is given by 0 − 0 =
( − 0 ) ⇒
4 0
4 0
equation is  − 0 =
40
50
9 0
90
50
+ 0 =
, and the ­intercept  is given by  − 0 =
+ 0 = −
.
(0 − 0 ) ⇒  = −
9
9
4 0
4
4


So as 0 takes on all values in (0 3),  takes on all values in 0 53 , and as 0 takes on all values in (0 2),  takes on


all values in − 52  0 .
 = −
20. lim
→0
sin(3 + )2 − sin 9
=  0 (3) where () = sin 2 . Now  0 () = (cos 2 )(2), so  0 (3) = 6 cos 9.

21. (a) If the two lines 1 and 2 have slopes 1 and 2 and angles of
inclination 1 and 2 , then 1 = tan 1 and 2 = tan 2 . The triangle
in the figure shows that 1 +  + (180◦ − 2 ) = 180◦ and so
 = 2 − 1 . Therefore, using the identity for tan( − ), we have
tan  = tan(2 − 1 ) =
tan 2 − tan 1
2 − 1
and so tan  =
.
1 + tan 2 tan 1
1 + 1 2
(b) (i) The parabolas intersect when 2 = ( − 2)2
⇒  = 1. If  = 2 , then  0 = 2, so the slope of the tangent
to  = 2 at (1 1) is 1 = 2(1) = 2. If  = ( − 2)2 , then  0 = 2( − 2), so the slope of the tangent to
 = ( − 2)2 at (1 1) is 2 = 2(1 − 2) = −2. Therefore, tan  =
so  = tan−1
4
3
4
2 − 1
−2 − 2
= and
=
1 + 1 2
1 + 2(−2)
3
≈ 53◦ [or 127◦ ].
(ii) 2 −  2 = 3 and 2 − 4 +  2 + 3 = 0 intersect when 2 − 4 + (2 − 3) + 3 = 0 ⇔ 2( − 2) = 0 ⇒
 = 0 or 2, but 0 is extraneous. If  = 2, then  = ±1. If 2 −  2 = 3 then 2 − 2 0 = 0 ⇒  0 =  and
2 − 4 +  2 + 3 = 0 ⇒ 2 − 4 + 2 0 = 0 ⇒  0 =
2 = 0, so tan  =
so tan  =
22.  2 = 4
2 =
0−2
1+2·0
2−
. At (2 1) the slopes are 1 = 2 and

= −2 ⇒  ≈ 117◦ . At (2 −1) the slopes are 1 = −2 and 2 = 0
0 − (−2)
= 2 ⇒  ≈ 63◦ [or 117◦ ].
1 + (−2)(0)
⇒ 2 0 = 4 ⇒  0 = 2
⇒ slope of tangent at  (1  1 ) is 1 = 21 . The slope of   is
1
, so by the formula from Problem 21(a),
1 − 
2
1
−
 2 − 2(1 − )
41 − 21 + 22
 ( − )
1 − 

  1  · 1 1
= 1
=
tan  =
1 (1 − )
1 (1 − ) + 21
1 1 − 1 + 21
2
1
1+
1
1 − 
=
Since 0 ≤ ,  ≤

,
2
2
2( + 1 )
=
= slope of tangent at  = tan 
1 ( + 1 )
1
this proves that  = .
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°
318
¤
CHAPTER 3 PROBLEMS PLUS
23. Since ∠ = ∠ = , the triangle  is isosceles, so
|| = || = . By the Law of Cosines, 2 = 2 + 2 − 2 cos . Hence,
2 cos  = 2 , so  =

2
=
. Note that as  → 0+ ,  → 0+ (since
2 cos 
2 cos 
sin  = ), and hence  →


= . Thus, as  is taken closer and closer
2 cos 0
2
to the ­axis, the point  approaches the midpoint of the radius .
 () −  (0)
() − (0)
lim
 ()
() − 0
 () −  (0)
 0 (0)
→0

−
0
−0
= lim
= lim
= lim
24. lim
=
= 0
→0 ()
→0 () − 0
→0 () − (0)
→0 () − (0)
() − (0)
 (0)
lim
→0
−0
−0
25. lim
→0
sin( + 2) − 2 sin( + ) + sin 
2
= lim
sin  cos 2 + cos  sin 2 − 2 sin  cos  − 2 cos  sin  + sin 
2
= lim
sin  (cos 2 − 2 cos  + 1) + cos  (sin 2 − 2 sin )
2
= lim
sin  (2 cos2  − 1 − 2 cos  + 1) + cos  (2 sin  cos  − 2 sin )
2
= lim
sin  (2 cos )(cos  − 1) + cos  (2 sin )(cos  − 1)
2
= lim
2(cos  − 1)[sin  cos  + cos  sin ](cos  + 1)
2 (cos  + 1)
= lim
−2 sin2  [sin( + )]
= −2 lim
→0
2 (cos  + 1)
→0
→0
→0
→0
→0
→0
26. (a)  () = ( − 2)( − 6) = 3 − 82 + 12

sin 

2
·
sin( + )
sin( + 0)
= −2(1)2
= − sin 
cos  + 1
cos 0 + 1
⇒  0 () = 32 − 16 + 12. The average of the first pair of zeros is
(0 + 2)2 = 1. At  = 1, the slope of the tangent line is  0 (1) = −1, so an equation of the tangent line has the form
 = −1 + . Since  (1) = 5, we have 5 = −1 +  ⇒  = 6 and the tangent has equation  = − + 6.
Similarly, at  =
2+6
0+6
= 3,  = −9 + 18; at  =
= 4,  = −4. From the graph, we see that each tangent
2
2
line drawn at the average of two zeros intersects the graph of  at the third zero.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
CHAPTER 3 PROBLEMS PLUS
(b) Using Exercise 3.2.63(a),  () = ( − )( − )( − ) ⇒
 0 () = ( − )( − ) + ( − )( − ) + ( − )( − ).
0

+
2


 

 


+
+
+
+
+
+
−
− +
−
− +
−
−
2
2
2
2
2
2

 

 



 +  − 2
− + 
 +  − 2
− + 
−
−
+
+
=
2
2
2
2
2
2

 

 



 +  − 2
−
 +  − 2
−
−
−
−
−
=
2
2
2
2
2
2
=

=−

+

2

( − )2
4




+
+
+
=
−
−
−
2
2
2




−
 +  − 2
−
=
2
2
2
=−
( − )2
( +  − 2)
8
An equation of the tangent line at  =


( − )2
( − )2
+
+
is  = −
−
−
( +  − 2).
2
4
2
8
To find the ­intercept, let  = 0 and solve for .


( − )2
+
( − )2
−
=−
( +  − 2)
4
2
8
−
1
+
= − ( +  − 2)
2
2
 = 12  + 12  − 12  − 12  +  = 
The result is  = , which is the third zero.
Let  () = 2 and () = 
27.
√
 [  0]. From the graphs of  and ,
we see that  will intersect  exactly once when  and  share a tangent
line. Thus, we must have  =  and  0 =  0 at  = .
 () = () ⇒ 2 = 
and
So we must have 
 = 212 = 2
√
=

√
4 
√
 ≈ 3297.
⇒
√ 2


=
4
 0 () =  0 () ⇒ 22 =
2
√
 ()

√

⇒  = 14 . From (), 2(14) = 
⇒ 2 =
4

√ .


14 ⇒
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°
¤
319
320
¤
CHAPTER 3 PROBLEMS PLUS
28. We see that at  = 0,  () =  = 1 +  = 1, so if  =  is to lie above  = 1 + ,
the two curves must just touch at (0 1), that is, we must have  0 (0) = 1. [To see this
analytically, note that  ≥ 1 +  ⇒  − 1 ≥  ⇒
 − 1
≥ 1 for   0, so

 0 (0) = lim
 − 1
≥ 1. Similarly, for   0,  − 1 ≥  ⇒

 0 (0) = lim
 − 1
≤ 1.

→0+
→0−
 − 1
≤ 1, so

Since 1 ≤  0 (0) ≤ 1, we must have  0 (0) = 1.] But  0 () =  ln  ⇒  0 (0) = ln , so we have ln  = 1 ⇔
 = .
Another method: The inequality certainly holds for  ≤ −1, so consider   −1,  6= 0. Then  ≥ 1 +  ⇒
 ≥ (1 + )1 for   0 ⇒  ≥ lim (1 + )1 = , by Equation 3.6.5. Also,  ≥ 1 +  ⇒  ≤ (1 + )1
→0+
for   0 ⇒  ≤ lim (1 + )1 = . So since  ≤  ≤ , we must have  = .
→0−
29.  = √
√
2
sin 

√
−√
arctan
. Let  =  + 2 − 1. Then
2
2
−1
 −1
 +  − 1 + cos 
2
2
1
1
cos ( + cos ) + sin2 
0 = √
−√
·
·
2
2
( + cos )2
2 − 1
2 − 1 1 + sin ( + cos )
2
 cos  + cos2  + sin2 
2
 cos  + 1
1
1
−√
·
−√
·
= √
= √
( + cos )2 + sin2 
2 − 1
2 − 1
2 − 1
2 − 1 2 + 2 cos  + 1
=
2 − 1
2 + 2 cos  + 1 − 2 cos  − 2
√
= √
2 − 1 (2 + 2 cos  + 1)
2 − 1 (2 + 2 cos  + 1)
But 2 = 22 + 2
√
√


2 − 1 − 1 = 2  + 2 − 1 − 1 = 2 − 1, so 2 + 1 = 2, and 2 − 1 = 2( − 1).
√
√
2( − 1)
 − 1
So  0 = √
= √
. But  − 1 = 2 +  2 − 1 − 1 =  2 − 1,
2
2
 − 1 (2 + 2 cos )
 − 1 ( + cos )
so  0 = 1( + cos ).
30. Suppose that  =  +  is a tangent line to the ellipse. Then it intersects the ellipse at only one point, so the discriminant
of the equation
2
( + )2
+
= 1 ⇔ (2 + 2 2 )2 + 22  + 2 2 − 2 2 = 0 must be 0; that is,
2

2
0 = (22 )2 − 4(2 + 2 2 )(2 2 − 2 2 ) = 44 2 2 − 42 2 2 + 42 4 − 44 2 2 + 44 2 2
= 42 2 (2 2 + 2 − 2 )
Therefore, 2 2 + 2 − 2 = 0.
Now if a point ( ) lies on the line  =  + , then  =  − , so from above,
0 = 2 2 + 2 − ( − )2 = (2 − 2 )2 + 2 + 2 −  2
⇔ 2 +
2
2 −  2
+ 2
= 0.
2
−
 − 2
2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
CHAPTER 3 PROBLEMS PLUS
¤
321
(a) Suppose that the two tangent lines from the point ( ) to the ellipse
1
1
. Then  and
are roots of the equation




2
2 −  2
1
2 + 2
=0 ⇔

+
=
0.
This
implies
that
(
−
)

−
 − 2
2 − 2


 

1
1
+
= 0, so equating the constant terms in the two
2 −  +


 
2 −  2
1
quadratic equations, we get 2
=

= 1, and hence 2 −  2 = 2 − 2 . So ( ) lies on the
 − 2

have slopes  and
hyperbola 2 −  2 = 2 − 2 .
(b) If the two tangent lines from the point ( ) to the ellipse have slopes 
1
1
, then  and − are roots of the quadratic equation, and so




1
= 0, and equating the constant terms as in part (a), we get
( − )  +

and −
2 −  2
= −1, and hence 2 −  2 = 2 − 2 . So the point ( ) lies on the
2 − 2
circle 2 +  2 = 2 + 2 .
31.  = 4 − 22 − 
⇒  0 = 43 − 4 − 1. The equation of the tangent line at  =  is
 − (4 − 22 − ) = (43 − 4 − 1)( − ) or  = (43 − 4 − 1) + (−34 + 22 ) and similarly for  = . So if at
 =  and  =  we have the same tangent line, then 43 − 4 − 1 = 43 − 4 − 1 and −34 + 22 = −34 + 22 . The first
equation gives 3 − 3 =  −  ⇒ ( − )(2 +  + 2 ) = ( − ). Assuming  6= , we have 1 = 2 +  + 2 .
The second equation gives 3(4 − 4 ) = 2(2 − 2 ) ⇒ 3(2 − 2 )(2 + 2 ) = 2(2 − 2 ) which is true if  = −.
Substituting into 1 = 2 +  + 2 gives 1 = 2 − 2 + 2
⇒  = ±1 so that  = 1 and  = −1 or vice versa. Thus,
the points (1 −2) and (−1 0) have a common tangent line.
As long as there are only two such points, we are done. So we show that these are in fact the only two such points.
Suppose that 2 − 2 6= 0. Then 3(2 − 2 )(2 + 2 ) = 2(2 − 2 ) gives 3(2 + 2 ) = 2 or 2 + 2 = 23 .
Thus,  = (2 +  + 2 ) − (2 + 2 ) = 1 −
1
1
2
1
2
= , so  =
. Hence, 2 + 2 = , so 94 + 1 = 62
3
3
3
9
3
0 = 94 − 62 + 1 = (32 − 1)2 . So 32 − 1 = 0 ⇒ 2 =
1
3
⇒ 2 =
⇒
1
1
= = 2 , contradicting our assumption
92
3
that 2 6= 2 .

 



32. Suppose that the normal lines at the three points 1  21 , 2  22 , and 3  23 intersect at a common point. Now if one of
the  is 0 (suppose 1 = 0) then by symmetry 2 = −3 , so 1 + 2 + 3 = 0. So we can assume that none of the  is 0.
[continued]
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°
¤
322
CHAPTER 3 PROBLEMS PLUS


1
The slope of the tangent line at   2 is 2 , so the slope of the normal line is −
and its equation is
2




1
( −  ). We solve for the ­coordinate of the intersection of the normal lines from 1  21 and 2  22 :
2


1
1
1
1
 = 21 −
= 22 − 21 ⇒
( − 1 ) = 22 −
( − 2 ) ⇒ 
−
21
22
22
21


1 − 2
= (−1 − 2 )(1 + 2 ) ⇔  = −21 2 (1 + 2 ) (1). Similarly, solving for the ­coordinate of the

21 2




intersections of the normal lines from 1  21 and 3  23 gives  = −21 3 (1 + 3 ) (2).
 − 2 = −
Equating (1) and (2) gives 2 (1 + 2 ) = 3 (1 + 3 ) ⇔ 1 (2 − 3 ) = 23 − 22 = −(2 + 3 )(2 − 3 ) ⇔
1 = −(2 + 3 ) ⇔ 1 + 2 + 3 = 0.
33. Because of the periodic nature of the lattice points, it suffices to consider the points in the 5 × 2 grid shown. We can see that
the minimum value of  occurs when there is a line with slope
2
5
which touches the circle centered at (3 1) and the circles
centered at (0 0) and (5 2).
To find  , the point at which the line is tangent to the circle at (0 0), we simultaneously solve 2 +  2 = 2 and
 = − 52  ⇒ 2 +
25
4
2 = 2
⇒ 2 =
4
29
2
⇒ =
√2
29
,  = − √529 . To find , we either use symmetry or
solve ( − 3)2 + ( − 1)2 = 2 and  − 1 = − 52 ( − 3). As above, we get  = 3 −
the line   is 25 , so   =
5
√
√
29 + 50 = 6 29 − 8
1+
√5
29
3−


 − − √529 
√2
29
−
⇔ 58 =
√2
29

=
1+
3−
√
29 ⇔  =
√
√10
29
√4
29
29
.
58


=
,  = 1 +
√
2
29 + 10
√
=
5
3 29 − 4
√5
29
. Now the slope of
⇒
So the minimum value of  for which any line with slope
intersects circles with radius  centered at the lattice points on the plane is  =
34.
√2
29
√
29
58
≈ 0093.
Assume the axes of the cone and the cylinder are parallel. Let  denote the initial
height of the water. When the cone has been dropping for  seconds, the water level has
risen  centimeters, so the tip of the cone is  + 1 centimeters below the water line.
We want to find  when  +  =  (when the cone is completely submerged).
Using similar triangles,

1
=
+

⇒ 1 =

( + ).

c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
2
5
CHAPTER 3 PROBLEMS PLUS
volume of water and cone at time 
2
=
original volume of water
2
+
 ( + )
=
 
+
2  + 2 
=
2 
+
32 2 
=
2 ( + )3
Differentiating implicitly with respect to  gives us 32 2
2 ( + )2

= 2 2

  − 2 ( + )2
⇒
¤
volume of submerged part of cone
2
1
3 1 (
2
1

3
+ )

( + )3
2





= 2 3( + )2
+ 3( + )2



⇒

 
2 2
2
= 2 2
= 2
. Thus, the water level is rising at a rate of

2
2
  +  = 
  − 
 − 2
2
cms at the instant the cone is completely submerged.
2 − 2

5

=
⇒ =
. The volume of the cone is
5
16
16
 2
25 2 
25 3

5
 = 13 2  = 13 
 , so
=

. Now the rate of
=
16
768

256

By similar triangles,
35.
change of the volume is also equal to the difference of what is being added
(2 cm3min) and what is oozing out (, where  is the area of the cone and 
is a proportionality constant). Thus,

= 2 − .



5(10)
25

10
and substituting  = 10,
= −03,  =
=
, and √
⇔
=


16
8
16
281
√
5√
750
25
25 5 √
125 281
2
=
(10) (−03) = 2 − 
·
=2+
. Solving for  gives us
281, we get
281 ⇔
8
256
8 8
64
256
Equating the two expressions for
=
256 + 375
√
. To maintain a certain height, the rate of oozing, , must equal the rate of the liquid being poured in;
250 281
that is,

= 0. Thus, the rate at which we should pour the liquid into the container is

√
256 + 375
256 + 375
25 5 281
√
 =
·
=
≈ 11204 cm3min
··
8
8
128
250 281
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°
323
4
APPLICATIONS OF DIFFERENTIATION
4.1 Maximum and Minimum Values
1. A function  has an absolute minimum at  =  if () is the smallest function value on the entire domain of , whereas
 has a local minimum at  if () is the smallest function value when  is near .
2. (a) The Extreme Value Theorem
(b) See the Closed Interval Method.
3. Absolute maximum at , absolute minimum at , local maximum at , local minima at  and , neither a maximum nor a
minimum at  and .
4. Absolute maximum at ; absolute minimum at ; local maxima at  and ; local minimum at ; neither a maximum nor a
minimum at  and .
5. Absolute maximum value is (4) = 5; there is no absolute minimum value; local maximum values are  (4) = 5 and
 (6) = 4; local minimum values are  (2) = 2 and (1) =  (5) = 3.
6. There is no absolute maximum value; absolute minimum value is (4) = 1; local maximum values are (3) = 4 and
(6) = 3; local minimum values are (2) = 2 and (4) = 1.
7. Absolute maximum at 5, absolute minimum at 2,
local maximum at 3, local minima at 2 and 4
9. Absolute minimum at 3, absolute maximum at 4,
local maximum at 2
8. Absolute maximum at 4, absolute minimum at 5,
local maximum at 2, local minimum at 3
10. Absolute maximum at 2, absolute minimum at 5,
4 is a critial number but there is no local maximum or
minimum there.
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°
325
326
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
11. (a)
(b)
12. (a) Note that a local maximum cannot
(c)
(b)
occur at an endpoint.
Note: By the Extreme Value Theorem,  must not be continuous.
13. (a) Note: By the Extreme Value Theorem,
(b)
 must not be continuous; because if it
were, it would attain an absolute
minimum.
14. (a)
(b)
15.  () = 3 − 2,  ≥ −1. Absolute maximum
 (−1) = 5; no local maximum. No absolute or local
16.  () = 2 , −1 ≤   2. No absolute or local maximum.
Absolute and local minimum  (0) = 0.
minimum.
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°
SECTION 4.1
17.  () = 1,  ≥ 1. Absolute maximum  (1) = 1;
no local maximum. No absolute or local minimum.
19.  () = sin , 0 ≤   2. No absolute or local
No absolute or local minimum.
20.  () = sin , 0   ≤ 2. Absolute maximum


minimum.
minimum.

= 1; no local maximum. Absolute minimum
2
 
 − 2 = −1; no local minimum.

23.  () = ln , 0   ≤ 2. Absolute maximum
 (2) = ln 2  069; no local maximum. No absolute
¤
327
18.  () = 1, 1    3. No absolute or local maximum.
maximum. Absolute minimum (0) = 0; no local
21.  () = sin , −2 ≤  ≤ 2. Absolute maximum
MAXIMUM AND MINIMUM VALUES
2
= 1; no local maximum. No absolute or local
22.  () = cos , − 3
2 ≤  ≤
3
2 .
Absolute and local
maximum (0) = 1; absolute and local minima
 (± −1).
24.  () =|  |. No absolute or local maximum. Absolute
and local minimum  (0) = 0.
or local minimum.
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°
328
¤
CHAPTER 4
25.  () = 1 −
APPLICATIONS OF DIFFERENTIATION
√
. Absolute maximum  (0) = 1;
no local maximum. No absolute or local minimum.
27.  () =

2
2 − 3
if −1 ≤  ≤ 0
if 0   ≤ 1
26.  () =  . No absolute or local maximum or
minimum value.
28.  () =

2 + 1
4 − 2
if 0 ≤   1
if 1 ≤  ≤ 3
No absolute or local maximum.
No absolute or local maximum.
Absolute minimum  (1) = −1.
Absolute minimum  (3) = −2; no local minimum.
Local minimum  (0) = 0.
29.  () = 32 +  − 2
⇒  0 () = 6 + 1.  0 () = 0 ⇒  = − 16 . This is the only critical number.
30. () =  3 − 12 + 4
⇒  0 () = 3 2 − 12 = 3( 2 − 4) = 3( + 2)( − 2). 0 () = 0 ⇒  = −2, 2. These are the
only critical numbers.
31.  () = 34 + 83 − 482
⇒  0 () = 123 + 242 − 96 = 12(2 + 2 − 8) = 12( + 4)( − 2).
 0 () = 0 ⇒  = −4, 0, 2. These are the only critical numbers.
32.  () = 23 + 2 + 8
=
−1 ±
⇒  0 () = 62 + 2 + 8 = 2(32 +  + 4). Using the quadratic formula,  0 () = 0 ⇔
√
−47
. Since the discriminant, −47, is negative, there are no real solutions, and hence, there are no critical
6
numbers.
⇒ 0 () = 54 + 152 + 50 = 5(4 + 32 + 10). Using the quadratic formula to solve for 2 ,

√
−3 ± 32 − 4(1)(10)
−3 ± −31
0
2
=
. Since the discriminant, −31, is negative, there are no real
 () = 0 ⇔  =
2(1)
2
33. () = 5 + 53 + 50
solutions, and hence, there are no critical numbers.
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°
SECTION 4.1
34. () = |3 − 2| =
0 () =

−2
2

−(3 − 2)
if  
if  
−1
2 −  + 1
35. () =
if 3 − 2 ≥ 0
3 − 2
3
2
3
2
if 3 − 2  0
=

if  ≤
3 − 2
if  
2 − 3
and 0 () does not exist at  =
MAXIMUM AND MINIMUM VALUES
¤
329
3
2
3
2
3
3
, so  = is a critical number.
2
2
⇒
( 2 −  + 1)(1) − ( − 1)(2 − 1)
 2 −  + 1 − (2 2 − 3 + 1)
(2 − )
− 2 + 2
=
= 2
= 2
.
2
2
2
2
( −  + 1)
( −  + 1)
( −  + 1)2
( −  + 1)2
 0 () =
 0 () = 0 ⇒  = 0, 2. The expression  2 −  + 1 is never equal to 0, so  0 () exists for all real numbers.
The critical numbers are 0 and 2.
−1
2 + 4
36. () =
⇒ 0 () =
0 () = 0 ⇒  =
2 + 2
2 − 1
37. () =
−2 ±
(2 + 4)(1) − ( − 1)(2)
2 + 4 − 22 + 2
−2 + 2 + 4
=
=
.
2
2
2
2
( + 4)
( + 4)
(2 + 4)2
√
√
√
4 + 16
= 1 ± 5. The critical numbers are 1 ± 5. [0 () exists for all real numbers.]
−2
⇒
(2 − 1)(2) − (2 + 2)(2)
42 − 2 − 22 − 4
22 − 2 − 4
2(2 −  − 2)
2( − 2)( + 1)
=
=
=
=
.
(2 − 1)2
(2 − 1)2
(2 − 1)2
(2 − 1)2
(2 − 1)2
0 () =
0 () = 0 ⇒  = −1 or 2. 0 () does not exist at  = 12 , but
1
2
is not in the domain of , so the critical numbers are −1
and 2.
2 + 9
2 − 9
38. () =
⇒  0 () =
(2 − 9)(2) − (2 + 9)(2)
23 − 18 − 23 − 18
36
=
=− 2
.  0 () = 0 ⇒
2
2
( − 9)
(2 − 9)2
( − 9)2
36 = 0 ⇒  = 0.  0 () does not exist at  = ±3, but 3 and −3 are not in the domain of , so 0 is the only critical number.
39. () = 34 − 214
0 () = 0 ⇒ 3
40. () =
⇒ 0 () = 34 −14 − 24 −34 = 14 −34 (312 − 2) =
√
=2
⇒
√
3
4 − 2 = (4 − 2 )13
√
=
2
3
3
√
−2
√
.
4
4 3
⇒  = 49 . 0 () does not exist at  = 0, so the critical numbers are 0 and 49 .
⇒  0 () = 13 (4 − 2 )−23 (−2) =
−2
.  0 () = 0 ⇒  = 0.
3(4 − 2 )23
 0 (±2) do not exist. Thus, the three critical numbers are −2, 0, and 2.
41.  () = 45 ( − 4)2
⇒
 0 () = 45 · 2( − 4) + ( − 4)2 · 45 −15 = 15 −15 ( − 4)[5 ·  · 2 + ( − 4) · 4]
=
2( − 4)(7 − 8)
( − 4)(14 − 16)
=
515
515
 0 () = 0 ⇒  = 4, 87 .  0 (0) does not exist. Thus, the three critical numbers are 0, 87 , and 4.
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°
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¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
42. () = −13 ( − 2)
⇒


2 + 2
2( + 1) 0
=
.  () = 0 ⇒
0 () = −13 · 1 + ( − 2) · − 13 −43 = 13 −43 [3 + ( − 2)(−1)] =
343
343
2( + 1) = 0 ⇒  = −1. 0 () does not exist at  = 0, but 0 is not in the domain of , so −1 is the only critical number.
43.  () = 13 (4 − )23
 0 () = 13 ·
2
3
⇒
(4 − )−13 · (−1) + (4 − )23 · 13 −23 = 13 −23 (4 − )−13 [−2 + (4 − )] =
4 − 3
.
323 (4 − )13
 0 () = 0 ⇒ 4 − 3 = 0 ⇒  = 43 .  0 (0) and  0 (4) are undefined. Thus, the three critical numbers are 0, 43 , and 4.
44.  () =  +
=

4
√
2 cos 
⇒  0 () = 1 −
+ 2 [ an integer],  =
45.  () = 2 cos  + sin2 
3
4
√
√
1
2 sin .  0 (0) = 0 ⇒ 1 − 2 sin  = 0 ⇒ sin  = √
2
⇒
+ 2 are critical numbers. [ 0 () exists for all real numbers.]
⇒  0 () = −2 sin  + 2 sin  cos .  0 () = 0 ⇒ 2 sin  (cos  − 1) = 0 ⇒ sin  = 0
or cos  = 1 ⇒  =  [ an integer] or  = 2. The solutions  =  include the solutions  = 2, so the critical
numbers are  = .
46. () = 4
⇒ 0 () = (44 ) + 4 (1) = 4 (4 + 1). 0 () = 0 ⇒  = − 14 [4 is never equal to 0]. 0 () always
exists, so the only critical number is − 14 .
47. () = 2 ln 
⇒ 0 () = 2 (1) + (ln )(2) =  + 2 ln  = (1 + 2 ln ). 0 () = 0 ⇒ 1 + 2 ln  = 0 [or
 = 0, but 0 is not in the domain of ] ⇒ ln  = − 12
√
of , so the only critical number is −12 = 1 .
48. () = 4 tan−1  − 
⇒  0 () =
⇒  = −12 .  0 (0) does not exist, but 0 is not in the domain
4
4
1 + 2
3 − 2
−1=
−
=
.  0 () = 0 ⇒ 3 − 2 = 0 ⇒
2
2
2
1+
1+
1+
1 + 2
√ √
 = − 3, 3. The expression 1 + 2 is never equal to 0, so  0 () exists for all real numbers. Thus, the critical numbers are
√
√
− 3 and 3.
49. The graph of  0 () = 5−01|| sin  − 1 has 10 zeros and exists
everywhere, so  has 10 critical numbers.
50. A graph of  0 () =
100 cos2 
− 1 is shown. There are 7 zeros
10 + 2
between 0 and 10, and 7 more zeros since  0 is an even function.
 0 exists everywhere, so  has 14 critical numbers.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.1
51.  () = 12 + 4 − 2 , [0 5].
MAXIMUM AND MINIMUM VALUES
¤
331
 0 () = 4 − 2 = 0 ⇔  = 2.  (0) = 12,  (2) = 16, and (5) = 7.
So  (2) = 16 is the absolute maximum value and  (5) = 7 is the absolute minimum value.
52.  () = 5 + 54 − 23 , [0 4].
 0 () = 54 − 62 = 6(9 − 2 ) = 6(3 + )(3 − ) = 0 ⇔  = −3, 3. (0) = 5,
 (3) = 113, and  (4) = 93. So  (3) = 113 is the absolute maximum value and  (0) = 5 is the absolute minimum value.
53.  () = 23 − 32 − 12 + 1, [−2 3].
 0 () = 62 − 6 − 12 = 6(2 −  − 2) = 6( − 2)( + 1) = 0 ⇔
 = 2 −1.  (−2) = −3,  (−1) = 8,  (2) = −19, and  (3) = −8. So (−1) = 8 is the absolute maximum value and
 (2) = −19 is the absolute minimum value.
54.  () = 3 − 62 + 5, [−3 5].
 0 () = 32 − 12 = 3( − 4) = 0 ⇔  = 0, 4.  (−3) = −76,  (0) = 5,
 (4) = −27, and  (5) = −20. So  (0) = 5 is the absolute maximum value and (−3) = −76 is the absolute minimum
value.
55.  () = 34 − 43 − 122 + 1, [−2 3].
 0 () = 123 − 122 − 24 = 12(2 −  − 2) = 12( + 1)( − 2) = 0 ⇔
 = −1, 0, 2.  (−2) = 33,  (−1) = −4,  (0) = 1,  (2) = −31, and  (3) = 28. So (−2) = 33 is the absolute maximum
value and (2) = −31 is the absolute minimum value.
56.  () = (2 − 4)3 , [−2 3].
 0 () = 3(2 − 4)2 (2) = 6( + 2)2 ( − 2)2 = 0 ⇔  = −2, 0, 2.  (±2) = 0,
 (0) = −64, and  (3) = 53 = 125. So  (3) = 125 is the absolute maximum value and (0) = −64 is the absolute
minimum value.
57.  () =  +
1
1
2 − 1
( + 1)( − 1)
, [02 4].  0 () = 1 − 2 =
=
= 0 ⇔  = ±1, but  = −1 is not in the given


2
2
interval, [02 4].  0 () does not exist when  = 0, but 0 is not in the given interval, so 1 is the only critical nuumber.
 (02) = 52,  (1) = 2, and  (4) = 425. So  (02) = 52 is the absolute maximum value and  (1) = 2 is the absolute
minimum value.
58.  () =
 0 () =

, [0 3].
2 −  + 1
(2 −  + 1) − (2 − 1)
2 −  + 1 − 22 + 
1 − 2
(1 + )(1 − )
=
= 2
=
=0 ⇔
2
2
2
2
( −  + 1)
( −  + 1)
( −  + 1)2
(2 −  + 1)2
 = ±1, but  = −1 is not in the given interval, [0 3].  (0) = 0, (1) = 1, and (3) = 37 . So (1) = 1 is the absolute
maximum value and  (0) = 0 is the absolute minimum value.
59.  () =  −
√
3
, [−1 4].  0 () = 1 − 13 −23 = 1 −
1
1
.  0 () = 0 ⇔ 1 = 23
323
3
⇔ 23 =
1
3
⇔

√
 32
1
1
1
3
=±
=± √ =±
.  0 () does not exist when  = 0.  (−1) = 0,  (0) = 0,
=±
3
27
9
3 3
√
√




−1
1
−1
−1
−1 + 3
2 3
1
1
2 3
√
 √
≈ 03849,  √
, and
= √ −√ =
=
= √ −√ =−
9
9
3 3
3 3
3
3 3
3 3
3 3
3
√
√ 
√
√
2 3
3
3
3
 (4) = 4 − 4 ≈ 2413. So  (4) = 4 − 4 is the absolute maximum value and 
=−
is the absolute
9
9
minimum value.
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°
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CHAPTER 4
60.  () =
APPLICATIONS OF DIFFERENTIATION

(1 + 2 ) −  (2)
 (2 − 2 + 1)
 ( − 1)2
, [0 3].  0 () =
=
=
.  0 () = 0 ⇒
2
2
2
2
2
1+
(1 +  )
(1 +  )
(1 + 2 )2
( − 1)2 = 0 ⇔  = 1.  0 () exists for all real numbers since 1 + 2 is never equal to 0.  (0) = 1,
 (1) = 2  1359, and  (3) = 3 10  2009. So  (3) = 3 10 is the absolute maximum value and  (0) = 1 is the
absolute minimum value.
61.  () = 2 cos  + sin 2, [0, 2].
 0 () = −2 sin  + cos 2 · 2 = −2 sin  + 2(1 − 2 sin2 ) = −2(2 sin2  + sin  − 1) = −2(2 sin  − 1)(sin  + 1).
√
√
√
 0 () = 0 ⇒ sin  = 12 or sin  = −1 ⇒  = 6 .  (0) = 2,  ( 6 ) = 3 + 12 3 = 32 3  260, and  ( 2 ) = 0.
√
So  ( 6 ) = 32 3 is the absolute maximum value and  ( 2 ) = 0 is the absolute minimum value.
62.  () = 1 + cos2 , [4 ].
2 = 
⇒ =

.
2
 0 () = 2 cos (− sin ) = −2 sin  cos  = − sin 2.  0 () = 0 ⇒ − sin 2 = 0 ⇒
Only  =

2
[ = 1] is in the interval (4, ).  (4) = 1 +
 √ 2
3
2
= ,
2
2
 (2) = 1 + 02 = 1, and () = 1 + (−1)2 = 2. So  () = 2 is the absolute maximum value and (2) = 1 is the
absolute minimum value.
63.  () = −2 ln ,
1
2

1
1 − 2 ln 
 4 .  0 () = −2 · + (ln )(−2−3 ) = −3 − 2−3 ln  = −3 (1 − 2 ln ) =
.

3
 0 () = 0 ⇔ 1 − 2 ln  = 0 ⇔ 2 ln  = 1 ⇔ ln  =
when  = 0, which is not in the given interval,
1
2
⇔  = 12 ≈ 165.  0 () does not exist
1
2

 
ln 12
ln 1 − ln 2
= −4 ln 2 ≈ −2773,
 4 .  12 =
=
(12)2
14
1
ln 4
ln 12
12
ln 4
1
=
≈ 0184, and  (4) = 2 =
≈ 0087. So  (12 ) =
is the absolute maximum
=

2
4
16
2
(12 )2
 
value and  12 = −4 ln 2 is the absolute minimum value.
 (12 ) =
64.  () = 2 , [−3 1].
 0 () = 2
1
2
+ 2 (1) = 2
1
2

 + 1 .  0 () = 0 ⇔
1

2
+ 1 = 0 ⇔  = −2.
 (−3) = −3−32 ≈ −0669,  (−2) = −2−1 ≈ −0736, and  (1) = 12 ≈ 1649. So  (1) = 12 is the absolute
maximum value and  (−2) = −2 is the absolute minimum value.
1
· (2 + 1) = 0 ⇔  = − 12 . Since 2 +  + 1  0 for all , the
2 +  + 1
 
domain of  and  0 is .  (−1) = ln 1 = 0,  − 12 = ln 34  −029, and (1) = ln 3  110. So  (1) = ln 3  110 is
 
the absolute maximum value and  − 12 = ln 34  −029 is the absolute minimum value.
65.  () = ln(2 +  + 1), [−1 1].  0 () =
66.  () =  − 2 tan−1 , [0 4].
 0 () = 1 − 2 ·
 = ±1. (0) = 0, (1) = 1 −
maximum value and  (1) = 1 −

2

2
1
2
=0 ⇔ 1=
1 + 2
1 + 2
⇔ 1 + 2 = 2 ⇔ 2 = 1 ⇔
≈ −057, and (4) = 4 − 2 tan−1 4 ≈ 1 35. So  (4) = 4 − 2 tan−1 4 is the absolute
is the absolute minimum value.
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°
SECTION 4.1
MAXIMUM AND MINIMUM VALUES
¤
333
67.  () =  (1 − ) , 0 ≤  ≤ 1,   0,   0.
 0 () =  · (1 − )−1 (−1) + (1 − ) · −1 = −1 (1 − )−1 [ · (−1) + (1 − ) · ]
= −1 (1 − )−1 ( −  − )
At the endpoints, we have (0) =  (1) = 0 [the minimum value of  ]. In the interval (0 1),  0 () = 0 ⇔  =



+
So 


=

+



+
=
 
1−

+

=

( + )

+−
+

=


+


 
·
=
.
( + ) ( + )
( + )+
 
is the absolute maximum value.
( + )+


The graph of  () = 1 + 5 − 3  indicates that  0 () = 0 at  ≈ ±13 and
68.
that  0 () does not exist at  ≈ −21, −02, and 23. Those five values of 
are the critical numbers of .
69. (a)
From the graph, it appears that the absolute maximum value is about
 (−077) = 219, and the absolute minimum value is about  (077) = 181.

(b)  () = 5 − 3 + 2 ⇒  0 () = 54 − 32 = 2 (52 − 3). So  0 () = 0 ⇒  = 0, ± 35 .
and similarly, 
70. (a)
 
3
5

     5   3
 2  3
+ 35 35 + 2
 − 35 = − 35 − − 35 + 2 = − 35
5


 3
9
6
3
= 35 − 25
+ 2 = 25
+ 2 (maximum)
5
5
6
= − 25

3
5
+ 2 (minimum).
From the graph, it appears that the absolute maximum value
is about  (1) = 285, and the absolute minimum value is about
(023) = 189.
(b)  () =  + −2
⇒  0 () =  − 2−2 = −2 (3 − 2). So  0 () = 0 ⇔ 3 = 2 ⇔ 3 = ln 2 ⇔


 = 13 ln 2 [≈ 023].  13 ln 2 = (ln 2 )13 + (ln 2 )−23 = 213 + 2−23 [≈ 189], the minimum value.
 (1) = 1 + −2 [≈ 285], the maximum.
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°
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
71. (a)
From the graph, it appears that the absolute maximum value is about
 (075) = 032, and the absolute minimum value is  (0) = (1) = 0;
that is, at both endpoints.
(b)  () = 
√
 − 2
⇒  0 () =  ·
√
1 − 2
( − 22 ) + (2 − 22 )
3 − 42
√
√
+  − 2 =
= √
.
2
2
2 −
2 −
2  − 2
So  0 () = 0 ⇒ 3 − 42 = 0 ⇒ (3 − 4) = 0
 (0) =  (1) = 0 (minimum), and 
72. (a)
3
4
=
3
4

3
4
−
 3 2
4
⇒
=
3
4

 = 0 or 34 .
3
16
=
√
3 3
16
(maximum).
From the graph, it appears that the absolute maximum value is about
 (−2) = −117, and the absolute minimum value is about
 (−052) = −226.
(b)  () =  − 2 cos  ⇒  0 () = 1 + 2 sin . So  0 () = 0 ⇒ sin  = − 12
⇒  = − 6 on [−2 0].
√ 
√




 (−2) = −2 − 2 cos(−2) (maximum) and  − 6 = − 6 − 2 cos − 6 = − 6 − 2 23 = − 6 − 3 (minimum).
73. Let  = 0135 and  = −2802. Then () = 
 + 1 = 0 ⇔  = −
⇒  0 () = ( ·  ·  +  · 1) =  ( + 1).  0 () = 0 ⇔
1


≈ 036 h. (0) = 0, (−1) = − −1 = − ≈ 00177, and (3) = 33 ≈ 000009.



The maximum average BAC during the first three hours is about 00177 gdL and it occurs at approximately 036 h
(214 min).
74. () = 8(−04 − −06 )
06
04
= −04+06
(12) = 8(−48 − −72 ) ≈ 0060. The maximum concentration of the antibiotic during the first 12 hours is
75. The density is defined as  =
[since
⇔
= 02
⇔ 02 = ln 32 ⇔  = 5 ln 32 ≈ 2027 h. (0) = 8(1 − 1) = 0,
 



 −3 

−2
8
= 8 49 − 27
= 32
− 32
≈ 1185, and
 5 ln 32 = 8(−2 ln 32 − −3 ln 32 ) = 8 32
27
⇔
3
2
⇒  0 () = 8(−04−04 + 06−06 ).  0 () = 0 ⇔ 06−06 = 04−04
32
27
gmL.
1000
mass
=
(in gcm3 ). But a critical point of  will also be a critical point of 
volume
 ( )


= −1000 −2
and  is never 0], and  is easier to differentiate than .


 ( ) = 99987 − 006426 + 00085043 2 − 00000679 3
⇒  0 ( ) = −006426 + 00170086 − 00002037 2 .
Setting this equal to 0 and using the quadratic formula to find  , we get
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°
SECTION 4.1
MAXIMUM AND MINIMUM VALUES
¤
335
√
−00170086 ± 001700862 − 4 · 00002037 · 006426
≈ 39665◦ C or 795318◦ C. Since we are only interested
 =
2(−00002037)
in the region 0◦ C ≤  ≤ 30◦ C, we check the density  at the endpoints and at 39665◦ C: (0) ≈
(30) ≈
1000
≈ 100013;
99987
1000
1000
≈ 099625; (39665) ≈
≈ 1000255. So water has its maximum density at
10037628
9997447
about 39665◦ C.
76.  =
So

 sin  + cos 

( sin  + cos )(0) −  ( cos  − sin )
− ( cos  − sin )
=
=
.

( sin  + cos )2
( sin  + cos )2
⇒

= 0 ⇒  cos  − sin  = 0

 =
⇒ =
sin 
= tan . Substituting tan  for  in  gives us
cos 
(tan )
 tan 
 tan  cos 
 sin 
=
=  sin .
=
=
(tan ) sin  + cos 
1
sin2  + cos2 
sin2 
+ cos 
cos 


(see the figure), so  = 
.
If tan  = , then sin  = 
2 + 1
2 + 1
 
We compare this with the value of  at the endpoints:  (0) =  and  2 =  .
 



≤ 1 and 
≤ , we have that 
 is less than or equal to each of  (0) and  2 .
Now because 
2
2
2
 +1
 +1
 +1

 is the absolute minimum value of  (), and it occurs when tan  = .
Hence, 
2 + 1
77. () = 0014413 − 041772 + 2703 + 10601
to solve 0 () = 0.  =
08354 ±
⇒ 0 () = 0043232 − 08354 + 2703. Use the quadratic formula

(08354)2 − 4(004323)(2703)
≈ 41 or 152. For 0 ≤  ≤ 12, we have
2(004323)
(0) = 10601, (41) ≈ 10652, and (12) ≈ 10573. Thus, the water level was highest during 2012 about 41 months
after January 1.
78. (a) The equation of the graph in the figure is
() = 0001463 − 0115532 + 2498169 − 2126872.
(b) () =  0 () = 0004382 − 023106 + 2498169 ⇒
0 () = 000876 − 023106.
0 () = 0 ⇒ 1 =
023106
000876
≈ 264. (0) ≈ 2498, (1 ) ≈ 2193,
and (125) ≈ 6454.
The maximum acceleration is about 645 fts2 and the minimum acceleration is about 2193 fts2 .
79. (a) () = (0 − )2 = 0 2 − 3
⇒  0 () = 20  − 32 .  0 () = 0 ⇒ (20 − 3) = 0 ⇒




 = 0 or 23 0 (but 0 is not in the interval). Evaluating  at 12 0 , 23 0 , and 0 , we get  12 0 = 18 03 ,  23 0 =
and (0 ) = 0. Since
4
27
 18 ,  attains its maximum value at  = 23 0 . This supports the statement in the text.
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°
4
03 ,
27
336
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
(b) From part (a), the maximum value of  is
80.  () = 101 + 51 +  + 1
3
4
27 0 .
(c)
⇒  0 () = 101100 + 5150 + 1. Since  0 () ≥ 1 for all ,  0 () = 0 has no solution.
Thus,  has no critical number, and the function  has neither a local maximum nor a local minimum.
81. (a) Suppose that  has a local minimum value at , so () ≥  () for all  near . Then () = − () ≤ − () = () for
all  near , so () has a local maximum value at .
(b) If  has a local minimum at , then () = − () has a local maximum at , so 0 () = 0 by the case of Fermat’s
Theorem proved in the text. Thus,  0 () = − 0 () = 0.
82. (a)  () = 3 + 2 +  + , where  6= 0. So  0 () = 32 + 2 +  is a quadratic function and hence, the quadratic
equation  0 () = 0 has either 2, 1, or 0 real solutions. Thus, a cubic function can have two, one, or no critical number(s).
Case (i) [2 critical numbers]:
 () = 3 − 3 ⇒
 0 () = 32 − 3 = 3(2 − 1), so  = −1, 1
are critical numbers.
Case (ii) [1 critical number]:
 () = 3
⇒
 () = 3 , so  = 0
0
2
is the only critical number.
Case (iii) [no critical number]:
() = 3 + 3 ⇒
 0 () = 32 + 3 = 3(2 + 1),
so there is no critical number.
(b) Since there are at most two critical numbers, a cubic function can have at most two local extreme values, and by (a)(i), this
can occur. By (a)(ii) and (a)(iii), it can have no local extreme value. Thus, a cubic function can have zero or two local
extreme values.
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°
APPLIED PROJECT
APPLIED PROJECT
THE CALCULUS OF RAINBOWS
¤
337
The Calculus of Rainbows
1. From Snell’s Law, we have sin  =  sin  ≈
4
3
sin 


⇔  ≈ arcsin 34 sin  . We substitute this into


() =  + 2 − 4 =  + 2 − 4 arcsin 34 sin  , and then differentiate to find the minimum:


2 −12  3

3 cos 
3 cos 
cos  = 2 − 
. This is 0 when 
=2 ⇔
0 () = 2 − 4 1 − 34 sin 
4
9
9
2
1 − 16 sin 
1 − 16
sin2 
9
4
cos2  = 1 −
 = arccos

9
16
7
27
sin2  ⇔
9
4
cos2  = 1 −
9
16


1 − cos2  ⇔
27
16
cos2  =
7
16
⇔ cos  =
Another method: We first calculate

=0 ⇔

substitute sin  =
7
27
⇔
≈ 594◦ , and so the local minimum is (594◦ ) ≈ 24 radians ≈ 138◦ .
To see that this is an absolute minimum, we check the endpoints, which in this case are  = 0 and  =
 
(0) =  radians = 180◦ , and  2 ≈ 166◦ .
0 () = 2 − 4

4
3

: sin  =

4
3
sin 
4
3
⇔ cos  =
cos 


⇔

:
2

3 cos 
=
, so since

4 cos 

1
= , the minimum occurs when 3 cos  = 2 cos . Now we square both sides and

2
sin , leading to the same result.


1
sin 
⇒
2. If we repeat Problem 1 with  in place of
we get () =  + 2 − 4 arcsin





2
2
2
4 cos 
2 cos 
sin 
2 cos 
sin 
0
 () = 2 − 
=
,
which
is
0
when
1
−
⇔
=
1
−

2




sin 
 1−

4
3,
2
2
2
2
2
4 cos  =  − sin  ⇔ 3 cos  =  − 1 ⇔  = arccos

⇔
2 − 1
. So for  ≈ 13318 (red light) the minimum
3
occurs at 1 ≈ 1038 radians, and so the rainbow angle is about  − (1 ) ≈ 423◦ . For  ≈ 13435 (violet light) the
minimum occurs at 2 ≈ 1026 radians, and so the rainbow angle is about  − (2 ) ≈ 406◦ .
Another method: As in Problem 1, we can instead find 0 () in terms of

cos 

, and then substitute
=
.


 cos 
3. At each reflection or refraction, the light is bent in a counterclockwise direction: the bend at  is  − , the bend at  is
 − 2, the bend at  is again  − 2, and the bend at  is  − . So the total bend is


sin 
() = 2( − ) + 2( − 2) = 2 − 6 + 2, as required. We substitute  = arcsin
and differentiate, to get



2
6 cos 
3 cos 
sin 
0
=
,
which
is
0
when
1
−
⇔ 9 cos2  = 2 − sin2  ⇔
 () = 2 − 

2


sin 
 1−

8 cos2  = 2 − 1 ⇔ cos  =

1
2
8 (
− 1). If  = 43 , then the minimum occurs at
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°
338
¤
CHAPTER 4
1 = arccos

APPLICATIONS OF DIFFERENTIATION
(43)2 − 1
≈ 1254 radians. Thus, the minimum
8
counterclockwise rotation is (1 ) ≈ 231◦ , which is equivalent to a
clockwise rotation of 360◦ − 231◦ = 129◦ (see the figure). So the rainbow
angle for the secondary rainbow is about 180◦ − 129◦ = 51◦ , as required.
In general, the rainbow angle for the secondary rainbow is
 − [2 − ()] = () − .
4. In the primary rainbow, the rainbow angle gets smaller as  gets larger, as we found in Problem 2, so the colors appear from
top to bottom in order of increasing . But in the secondary rainbow, the rainbow angle gets larger as  gets larger. To see this,
we find the minimum deviations for red light and for violet light in the secondary rainbow. For  ≈ 13318 (red light) the

133182 − 1
minimum occurs at 1 ≈ arccos
≈ 1255 radians, and so the rainbow angle is (1 ) −  ≈ 506◦ . For
8

134352 − 1
≈ 1248 radians, and so the rainbow angle is
 ≈ 13435 (violet light) the minimum occurs at 2 ≈ arccos
8
(2 ) −  ≈ 536◦ . Consequently, the rainbow angle is larger for colors with higher indices of refraction, and the colors
appear from bottom to top in order of increasing , the reverse of their order in the primary rainbow.
Note that our calculations above also explain why the secondary rainbow is more spread out than the primary rainbow: in
the primary rainbow, the difference between rainbow angles for red and violet light is about 17◦ , whereas in the secondary
rainbow it is about 3◦ .
4.2 The Mean Value Theorem
1. (1)  is continuous on the closed interval [0 8] .
(2)  is differentiable on the open interval (0 8) .
(3)  (0) = 3 and  (8) = 3
Thus,  satisfies the hypotheses of Rolle’s Theorem. The numbers  = 1 and  = 5 satisfy the conclusion of Rolle’s Theorem
since  0 (1) =  0 (5) = 0.
2. The possible graphs fall into two general categories: (1) Not continuous and therefore not differentiable, (2) Continuous, but
not differentiable.
In either case, there is no number  such that  0 () = 0.
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°
SECTION 4.2
THE MEAN VALUE THEOREM
3. (a) (1)  is continuous on the closed interval [0 8] .
(2)  is differentiable on the open interval (0 8) .
(b)  0 () =
4−1
3
(8) − (0)
=
= .
8−0
8
8
It appears that  0 () =
(c)  0 () =
3
8
when  ≈ 22 and 64.
1−3
1
(6) − (2)
=
=− .
6−2
4
2
It appears that  0 () = − 12 when  ≈ 37 and 55.
The function shown in the figure is continuous on [0 8] [but not
4.
differentiable on (0 8)] with  (0) = 1 and  (8) = 4. The line
passing through the two points has slope 38 . There is no number  in
(0 8) such that  0 () = 38 .
5. (1)  is continuous on the closed interval [0 5].
(2)  is not differentiable on the open interval (0 5) since  is not differentiable at 3.
Thus,  does not satisfy the hypotheses of the Mean Value Theorem on the interval [0 5].
6. (1)  is continuous on the closed interval [0 5].
(2)  is differentiable on the open interval (0 5).
Thus,  satisfies the hypotheses of the Mean Value Theorem on the interval [0 5].
The line passing through (0  (0)) and (5  (5)) has slope 0. It appears that
 0 () = 0 for  = 1 and  = 3.
7. (1)  is continuous on the closed interval [0 5].
(2)  is differentiable on the open interval (0 5).
Thus,  satisfies the hypotheses of the Mean Value Theorem on the interval [0 5].
The line passing through (0  (0)) and (5  (5)) has slope
 (5) −  (0)
3−1
2
=
= . It appears that  0 () =
5−0
5
5
2
5
when  ≈ 38.
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°
¤
339
¤
340
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
8. (1)  is continuous on the closed interval [0 5].
(2)  is not differentiable on the open interval (0 5) since  is not differentiable at 4.
Thus,  does not satisfy the hypotheses of the Mean Value Theorem on the interval [0 5].
9.  () = 22 − 4 + 5, [−1 3].
 is a polynomial, so it’s continuous and differentiable on , and hence, continuous
on [−1 3] and differentiable on (−1 3). Since  (−1) = 11 and  (3) = 11,  satisfies all the hypotheses of Rolle’s
Theorem.  0 () = 4 − 4 and  0 () = 0 ⇔ 4 − 4 = 0 ⇔  = 1.  = 1 is in the interval (−1 3), so 1 satisfies the
conclusion of Rolle’s Theorem.
10.  () = 3 − 22 − 4 + 2, [−2 2].
 is a polynomial, so it’s continuous and differentiable on , and hence, continuous on
[−2 2] and differentiable on (−2 2). Since  (−2) = −6 and  (2) = −6,  satisfies all the hypotheses of Rolle’s Theorem.
 0 () = 32 − 4 − 4 and  0 () = 0 ⇔ (3 + 2)( − 2) = 0 ⇔  = − 23 or 2.  = − 23 is in the open interval
(−2 2) (but 2 isn’t), so only − 23 satisfies the conclusion of Rolle’s Theorem.
 , being the composite of the sine function and the polynomial 2, is continuous and
√
 
 
differentiable on , so it is continuous on [2 32] and differentiable on (2 32). Also,  2 = 12 2 =  3
.
2
11.  () = sin (2), [2 32].
 0 () = 0 ⇔
1
2
cos(2) = 0 ⇔ cos(2) = 0 ⇔ 2 =

2
+  [ an integer] ⇔  =  + 2.
Only  =  [when  = 0] is in (2 32), so  satisfies the conclusion of Rolle’s Theorem.

2 − 1
 2 .  0 () = 1 − 12 =
.  is a rational function that is continuous on its domain,
2




(−∞ 0) ∪ (0 ∞), so it is continuous on 12  2 .  0 has the same domain and is differentiable on 12  2 . Also,
12.  () =  + 1,

1
2
=
5
2
1
2
=  (2).  0 () = 0 ⇔
conclusion of Rolle’s Theorem.
13.  () = 1 − 23 .


2 − 1
= 0 ⇔ 2 − 1 = 0 ⇔  = ±1. Only 1 is in 12  2 , so 1 satisfies the
2

 (−1) = 1 − (−1)23 = 1 − 1 = 0 =  (1).  0 () = − 23 −13 , so  0 () = 0 has no solution. This
does not contradict Rolle’s Theorem, since  0 (0) does not exist, and so  is not differentiable on (−1 1).
(0) = tan 0 = 0 = tan  =  ().  0 () = sec2  ≥ 1, so  0 () = 0 has no solution. This does not
 
contradict Rolle’s Theorem, since  0 2 does not exist, and so  is not differentiable on (0 ). (Also,  is not continuous
14.  () = tan .
on [0 ].)
15.  () = 22 − 3 + 1, [0 2].
differentiable on .  0 () =
 is continuous on [0 2] and differentiable on (0 2) since polynomials are continuous and
 () −  ()
−
⇔ 4 − 3 =
 (2) −  (0)
3−1
=
= 1 ⇔ 4 = 4 ⇔  = 1, which
2−0
2
is in (0 2)
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°
SECTION 4.2
and differentiable on .  0 () =
341
 () −  ()
−
⇔ 32 − 3 =
4−0
 (2) −  (−2)
=
= 1 ⇔ 32 = 4 ⇔
2 − (−2)
4
2
⇔  = ± √ ≈ ±115, which are both in (−2 2).
3
4
3
 is continuous and differentiable on (0 ∞), so  is continuous on [1 4] and differentiable on (1 4).
17.  () = ln , [1 4].
 () −  ()
−
 0 () =
18.  () = 1, [1 3].
⇔
1
 (4) −  (1)
ln 4 − 0
ln 4
=
=
=

4−1
3
3
⇔ −
√
3 is in (1 3).
19.  () =
1
 (3) −  (1)
=
=
2
3−1
√
 (4) −  (0)
, [0 4].  0 () =
4−0
1
1
√ =
2
2 
⇔
⇔ =
3
≈ 216, which is in (1 4).
ln 4
 is continuous and differentiable on (−∞ 0) ∪ (0 ∞), so  is continous on [1 3] and differentiable
() −  ()
−
on (1 3).  0 () =
only
¤
 is continuous on [−2 2] and differentiable on (−2 2) since polynomials are continuous
16.  () = 3 − 3 + 2, [−2 2].
2 =
THE MEAN VALUE THEOREM
⇔
1
3
−1
1
=−
2
3
2−0
1
√ =
4
2 
√
2 = 3 ⇔  = ± 3 ≈ ±173, but
⇔
⇔
√
 = 1 ⇔  = 1. The secant line and the tangent line
are parallel.
20.  () = − , [0 2].
− =
1 − −2
2
 = − ln
 0 () =
 (2) −  (0)
2−0
⇔ − = ln
1 − −2
2
⇔ −− =
−2 − 1
2
⇔
⇔
1 − −2
≈ 084. The secant line and the tangent line are parallel.
2
21.  () = ( − 3)−2
−6
3
=
4
( − 3)3
⇒  0 () = −2( − 3)−3 .  (4) −  (1) =  0 ()(4 − 1) ⇒
1
1
−2
−
=
·3 ⇒
12
(−2)2
( − 3)3
⇒ ( − 3)3 = −8 ⇒  − 3 = −2 ⇒  = 1, which is not in the open interval (1 4). This does not
contradict the Mean Value Theorem since  is not continuous at  = 3, which is in the interval [1 4].
22.  () = 2 − |2 − 1| =

2 − (2 − 1)
2 − [−(2 − 1)]
 (3) −  (0) =  0 ()(3 − 0)
if 2 − 1 ≥ 0
if 2 − 1  0
⇒ −3 − 1 =  0 () · 3
=

3 − 2
1 + 2
if  ≥
if  
1
2
1
2
0
⇒  () =

−2 if  
2 if  
1
2
1
2
⇒  0 () = − 43 [not ± 2]. This does not contradict the Mean
Value Theorem since  is not differentiable at  = 12 , which is in the interval (0 3).
23. Let  () = 2 + cos . Then (−) = −2 − 1  0 and (0) = 1  0. Since  is the sum of the polynomial 2 and the
trignometric function cos ,  is continuous and differentiable for all . By the Intermediate Value Theorem, there is a
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°
342
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
number  in (− 0) such that  () = 0. Thus, the given equation has at least one real solution. If the equation has distinct real
solutions  and  with   , then  () = () = 0. Since  is continuous on [ ] and differentiable on ( ), Rolle’s
Theorem implies that there is a number  in ( ) such that  0 () = 0. But  0 () = 2 − sin   0 since sin  ≤ 1. This
contradiction shows that the given equation can’t have two distinct real solutions, so it has exactly one solution.
24. Let  () = 3 +  . Then  (−1) = −1 + 1  0 and (0) = 1  0. Since  is the sum of a polynomial and the natural
exponential function,  is continous and differentiable for all . By the Intermediate Value Theorem, there is a number  in
(−1 0) such that  () = 0. Thus, the given equation has at least one real solution. If the equation has distinct real solutions 
and  with   , then  () =  () = 0. Since  is continuous on [ ] and differentiable on ( ), Rolle’s Theorem implies
that there is a number  in ( ) such that  0 () = 0. But  0 () = 32 +   0. This contradiction shows that the given
equation can’t have two distinct real solutions, so it has exactly one solution.
25. Let  () = 3 − 15 +  for  in [−2 2]. If  has two real solutions  and  in [−2 2], with   , then  () =  () = 0.
Since the polynomial  is continuous on [ ] and differentiable on ( ), Rolle’s Theorem implies that there is a number  in
( ) such that  0 () = 0. Now  0 () = 32 − 15. Since  is in ( ), which is contained in [−2 2], we have ||  2, so
2  4. It follows that 32 − 15  3 · 4 − 15 = −3  0. This contradicts  0 () = 0, so the given equation,
3 − 15 +  = 0, can’t have two real solutions in [−2 2]. Hence, it has at most one real solution in [−2 2].
26.  () = 4 + 4 + . Suppose that () = 0 has three distinct real solutions , ,  where     . Then
 () = () = () = 0. By Rolle’s Theorem there are numbers 1 and 2 with   1   and   2  
and 0 =  0 (1 ) =  0 (2 ), so  0 () = 0 must have at least two real solutions. However
0 =  0 () = 43 + 4 = 4(3 + 1) = 4( + 1)(2 −  + 1) has as its only real solution  = −1. Thus, the given equation,
4 + 4 +  = 0, can have at most two real solutions.
27. (a) Suppose that a cubic polynomial  () has zeros 1  2  3  4 , so  (1 ) =  (2 ) =  (3 ) =  (4 ).
By Rolle’s Theorem there are numbers 1 , 2 , 3 with 1  1  2 , 2  2  3 , and 3  3  4 and
 0 (1 ) =  0 (2 ) =  0 (3 ) = 0. Thus, the second­degree polynomial  0 () has three distinct real zeros, which is
impossible. This contradiction tells us that a polynomial of degree 3 has at most three real zeros.
(b) We prove by induction that a polynomial of degree  has at most  real zeros. This is certainly true for  = 1. Suppose
that the result is true for all polynomials of degree  and let  () be a polynomial of degree  + 1. Suppose that  () has
more than  + 1 real zeros, say 1  2  3  · · ·  +1  +2 . Then  (1 ) =  (2 ) = · · · =  (+2 ) = 0.
By Rolle’s Theorem there are real numbers 1      +1 with 1  1  2      +1  +1  +2 and
 0 (1 ) = · · · =  0 (+1 ) = 0. Thus, the th­degree polynomial  0 () has at least  + 1 zeros. This contradiction shows
that  () has at most  + 1 real zeros and hence, a polynomial of degree  has at most  real zeros.
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°
SECTION 4.2
THE MEAN VALUE THEOREM
¤
343
28. (a) Suppose that () =  () = 0 where   . By Rolle’s Theorem applied to  on [ ], there is a number  such that
     and  0 () = 0.
(b) Suppose that  () =  () =  () = 0 where     . By Rolle’s Theorem applied to  on [ ] and [ ], there are
numbers  and  such that      and     , with  0 () = 0 and  0 () = 0. By Rolle’s Theorem applied to  0 on
[ ], there is a number  such that      and  00 () = 0.
(c) Suppose that  is  times differentiable on  and has  + 1 distinct real zeros. Then  () has at least one real zero.
29. By the Mean Value Theorem,  (4) − (1) =  0 ()(4 − 1) for some  ∈ (1 4). ( is differentiable for all , so, in particular, 
is differentiable on (1 4) and continuous on [1 4]. Thus, the hypotheses of the Mean Value Theorem are satisfied.) For every
 ∈ (1 4), we have  0 () ≥ 2. Putting  0 () ≥ 2 into the above equation and substituting (1) = 10, we get
 (4) =  (1) +  0 ()(4 − 1) = 10 + 3 0 () ≥ 10 + 3 · 2 = 16. So the smallest possible value of  (4) is 16.
30. By the Mean Value Theorem,  (8) −  (2) =  0 ()(8 − 2) for some  ∈ (2 8). ( is differentiable for all , so, in particular,
 is differentiable on (2 8) and continuous on [2 8]. Thus, the hypotheses of the Mean Value Theorem are satisfied.) Since
 (8) −  (2) = 6 0 () and 3 ≤  0 () ≤ 5, it follows that 6 · 3 ≤ 6 0 () ≤ 6 · 5, so 18 ≤  (8) −  (2) ≤ 30
31. Suppose that such a function  exists. By the Mean Value Theorem, there is a number  such that 0    2 with
 0 () =
4 − (−1)
5
 (2) − (0)
5
=
= . This result,  0 () = , is impossible since  0 () ≤ 2 for all , so no such
2−0
2−0
2
2
function  exists.
32. Let  =  − . Note that since  () = (), () =  () − () = 0. Then since  and  are continuous on [ ] and
differentiable on ( ), so is , and thus  satisfies the assumptions of the Mean Value Theorem. Therefore, there is
a number  with      such that () = () − () = 0 ()( − ). Given  0 ()   0 (), we have  0 − 0  0 or,
equivalently, 0  0. Now since 0 ()  0, 0 ()( − )  0, so () = () − ()  0 and hence  ()  ().
33. Consider the function  () = sin , which is continuous and differentiable on . Let  be a number such that 0    2.
Then  is continuous on [0 ] and differentiable on (0 ). By the Mean Value Theorem, there is a number  in (0 ) such that
 () −  (0) =  0 ()( − 0); that is, sin  − 0 = (cos )(). Now cos   1 for 0    2, so sin   1 ·  = . We took 
to be an arbitrary number in (0 2), so sin    for all  satisfying 0    2.
34.  satisfies the conditions for the Mean Value Theorem, so we use this theorem on the interval [− ]:  0 () =
 () −  (−)
 − (−)
for some  ∈ (− ). Since  is odd,  (−) = −(). Substituting this into the above equation, we get  0 () =
or, equivalently,  0 () =
 ()
.

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°
 () + ()
,
2
344
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
35. Let  () = sin  on [ ]. Then  is continuous on [ ] and differentiable on ( ). By the Mean Value Theorem, there is a
number  ∈ ( ) with  () −  () =  0 ()( − ) or, equivalently, sin  − sin  = (cos )( − ). Taking absolute values,
|sin  − sin | ≤ |cos | | − | or, equivalently, |sin  − sin | ≤ 1 | − |. If   , then |sin  − sin | ≤ | − |. If  = ,
both sides of the inequality are 0, which proves the given inequality for all  and .
36. Suppose that  0 () = . Let () = , so  0 () = . Then, by Corollary 7,  () = () + , where  is a constant, so
 () =  + .
37. For   0,  () = (), so  0 () = 0 (). For   0,  0 () = (1)0 = −12 and 0 () = (1 + 1)0 = −12 , so
again  0 () =  0 (). However, the domain of () is not an interval [it is (−∞ 0) ∪ (0 ∞)], so we cannot conclude that
 −  is constant (in fact, it is not).
 
1
1
. Then  0 () =
+

1 + 2
38. Let  () = arctan  + arctan


1
1
1
1
= 0 on the given
− 2
 2 · − 2 =
2

1
+


+1
1
1+

domain, (0 ∞). Therefore,  () =  on (0 ∞) by Theorem 5. To find , we let  = 1 to get
 
 



1
1


+ = = . Thus,  () = ; that is, arctan  + arctan
arctan 1 + arctan
= ⇒
= .
1
4
4
2
2

2
39. Let () = 2 sin−1  − cos−1 (1 − 22 ). Then
2
 () = √
−
1 − 2
0

−4
−
1 − (1 − 22 )2

2
4
= √
−√
1 − 2
42 − 44
2
4
√
= √
−
[since  ≥ 0] = 0
1 − 2
2 1 − 2
Thus,  0 () = 0 for all  ∈ (0 1), and hence,  () =  on (0 1). To find , let  = 05 to get
 
 (05) = 2 sin−1 (05) − cos−1 (05) = 2 6 − 3 = 0 = . We conclude that () = 0 for  in (0 1). By continuity of  ,
 () = 0 on [0 1]. Therefore, we see that  () = 2 sin−1  − cos−1 (1 − 22 ) = 0 ⇒ 2 sin−1  = cos−1 (1 − 22 ).
40. Let () be the velocity of the car  hours after 2:00 PM. Then
Theorem, there is a number  such that 0   
1
6
50 − 30
(16) − (0)
=
= 120. By the Mean Value
16 − 0
16
with  0 () = 120. Since  0 () is the acceleration at time , the acceleration
 hours after 2:00 PM is exactly 120 mih2 .
41. Let () and () be the position functions of the two runners and let  () = () − (). By hypothesis, where  is the
finishing time,  (0) = (0) − (0) = 0 and  () = () − () = 0. Then by the Mean Value Theorem, there is a time ,
with 0    , such that  0 () =
0−0
 () −  (0)
=
= 0. Since  0 () =  0 () − 0 () = 0, we have 0 () = 0 () [the
−0

velocities are equal]. So at time , both runners have the same speed.
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°
SECTION 4.3
WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
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345
42. Assume that  is differentiable (and hence continuous) on  and that  0 () 6= 1 for all . Suppose  has more than one fixed
point. Then there are numbers  and  such that   ,  () = , and  () = . Applying the Mean Value Theorem to the
function  on [ ], we find that there is a number  in ( ) such that  0 () =
 () − ()
−
. But then  0 () =
= 1,
−
−
contradicting our assumption that  0 () 6= 1 for every real number . This shows that our supposition was wrong, that is, that
 cannot have more than one fixed point.
4.3 What Derivatives Tell Us about the Shape of a Graph
1. (a)  is increasing on (1 3) and (4 6).
(c)  is concave upward on (0 2).
(b)  is decreasing on (0 1) and (3 4).
(d)  is concave downward on (2 4) and (4 6).
(e) The point of inflection is (2 3).
2. (a)  is increasing on (0 1) and (3 7).
(c)  is concave upward on (2 4) and (5 7).
(b)  is decreasing on (1 3).
(d)  is concave downward on (0 2) and (4 5).
(e) The points of inflection are (2 2), (4 3), and (5 4).
3. (a) Use the Increasing/Decreasing (I/D) Test.
(b) Use the Concavity Test.
(c) At any value of  where the concavity changes, we have an inflection point at ( ()).
4. (a) See the First Derivative Test.
(b) See the Second Derivative Test and the note that precedes Example 6.
5. (a) Since  0 ()  0 on (0 1) and (3 5),  is increasing on these intervals. Since  0 ()  0 on (1 3) and (5 6),  is
decreasing on these intervals.
(b) Since  0 () = 0 at  = 1 and  = 5, and  0 changes from positive to negative at both values,  changes from increasing
to decreasing and has local maxima at  = 1 and  = 5. Since  0 () = 0 at  = 3, and  0 changes from negative to
positive there,  changes from decreasing to increasing and has a local minimum at  = 3.
6. (a) Since  0 ()  0 on (1 4) and (5 6),  is increasing on these intervals. Since  0 ()  0 on (0 1) and (4 5),  is
decreasing on these intervals.
(b) Since  0 () = 0 at  = 4, and  0 changes from positive to negative there,  changes from increasing to decreasing and has
a local maximum at  = 4. Since  0 () = 0 at  = 1 and  = 5, and  0 changes from negative to positive at both values,
 changes from decreasing to increasing and has local minima at  = 1 and  = 5.
7. (a) There is an IP at  = 3 because the graph of  changes from CD to CU there. There is an IP at  = 5 because the graph
of  changes from CU to CD there.
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°
346
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
(b) There is an IP at  = 2 and at  = 6 because  0 () has a maximum value there, and so  00 () changes from positive to
negative there. There is an IP at  = 4 because  0 () has a minimum value there and so  00 () changes from negative to
positive there.
(c) There is an inflection point at  = 1 because  00 () changes from negative to positive there, and so the graph of  changes
from concave downward to concave upward. There is an inflection point at  = 7 because  00 () changes from positive to
negative there, and so the graph of  changes from concave upward to concave downward.
8. (a)  is increasing when  0 is positive. This happens on the intervals (0 4) and (6 8).
(b)  has a local maximum where it changes from increasing to decreasing, that is, where  0 changes from positive to negative
(at  = 4 and  = 8). Similarly,  has a local minimum where  0 changes from negative to positive (at  = 6).
(c)  is concave upward where  0 is increasing (hence  00 is positive). This happens on (0 1), (2 3), and (5 7). Similarly,
 is concave downward where  0 is decreasing, that is, on (1 2), (3 5), and (7 9).
(d)  has an inflection point where the concavity changes. This happens at  = 1, 2, 3, 5, and 7.
9.  () = 23 − 152 + 24 − 5
⇒  0 () = 62 − 30 + 24 = 6(2 − 5 + 4) = 6( − 1)( − 4).
Interval
1
14
4
−1
−4
 0 ()

−
−
+
increasing on (−∞ 1)
decreasing on (1 4)
+
+
−
+
+
−
increasing on (4 ∞)
 changes from increasing to decreasing at  = 1 and from decreasing to increasing at  = 4. Thus,  (1) = 6 is a local
maximum value and  (4) = −21 is a local minimum value.
10.  () = 3 − 62 − 135
⇒  0 () = 32 − 12 − 135 = 3(2 − 4 − 45) = 3( + 5)( − 9).
Interval
+5
−9
 0 ()

  −5
−
−
+
increasing on (−∞ −5)
9
+
+
+
−5    9
+
−
−
decreasing on (−5 9)
increasing on (9 ∞)
 changes from increasing to decreasing at  = −5 and from decreasing to increasing at  = 9. Thus,  (−5) = 400 is a local
maximum value and  (9) = −972 is a local minimum value.
11.  () = 64 − 163 + 1
⇒  0 () = 243 − 482 = 242 ( − 2).
Interval
2
−2
 0 ()

0
+
+
−
−
decreasing on (−∞ 0)
02
2
+
+
+
increasing on (2 ∞)
−
−
decreasing on (0 2)
Note that  is differentiable and  0 ()  0 on the interval (−∞ 2) except for the single number  = 0. By applying the result
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°
SECTION 4.3
WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
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347
of Exercise 4.3.97, we can say that  is decreasing on the entire interval (−∞ 2).  changes from decreasing to increasing at
 = 2. Thus,  (2) = −31 is a local minimum value.
⇒  0 () = 23 (1) + ( − 3) · 23 −13 = 13 −13 [3 + ( − 3) · 2] = 13 −13 (5 − 6).
12.  () = 23 ( − 3)
Interval
0
0
6
5
5 − 6
 0 ()

−
−
+
+
+
+
increasing on (−∞ 0)


decreasing on 0 65


increasing on 65  ∞
+
6
5

−13
−
−
 changes from increasing to decreasing at  = 0 and from decreasing to increasing at  = 65 . Thus,  (0) = 0 is a local
maximum value and 
13.  () =
 0 () =
2 − 24
−5
6
5
=
 6 23  9 
− 5  −203 is a local minimum value.
5
⇒
( − 5)(2) − (2 − 24)(1)
22 − 10 − 2 + 24
2 − 10 + 24
( − 4)( − 6)
=
=
=
.
( − 5)2
( − 5)2
( − 5)2
( − 5)2
−4
−6
( − 5)2
 0 ()

−
−
+
+
increasing on (−∞ 4)
+
+
+
6
+
−
−
decreasing on (4 5)
56
−
+
+
+
increasing on (6 ∞)
Interval
4
45
+
−
decreasing on (5 6)
 = 5 is not in the domain of  .  changes from increasing to decreasing at  = 4 and from decreasing to increasing at  = 6.
Thus, (4) = 8 is a local maximum value and  (6) = 12 is a local minimum value.
14.  () =  +
4
=  + 4−2
2
⇒  0 () = 1 − 8−3 = 1 −
8
3 − 8
( − 2)(2 + 2 + 4)
=
=
. The factor
3
3
3
2 + 2 + 4 is always positive and does not affect the sign of  0 ().
Interval
0
02
2
3
−2
 0 ()

−
−
+
increasing on (−∞ 0)
+
−
decreasing on (0 2)
+
+
+
−
increasing on (2 ∞)
 = 0 is not in the domain of .  changes from decreasing to increasing at  = 2. Thus,  (2) = 3 is a local minimum value.
15.  () = sin  + cos , 0 ≤  ≤ 2.
tan  = 1 ⇒  =

4
or
5
4 .
 0 () = cos  − sin  = 0 ⇒ cos  = sin  ⇒ 1 =
sin 
cos 
⇒
Thus,  0 ()  0 ⇔ cos  − sin   0 ⇔ cos   sin  ⇔ 0   
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°

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or
348
¤
5
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
   2 and  0 ()  0 ⇔ cos   sin  ⇔
decreasing on

4

5
4

.
 changes from increasing to decreasing at  =
local maximum value and 
16.  () = 4 −
 5 
4

4

4

5
4 .




So  is increasing on 0 4 and 5
4  2 and  is
and from decreasing to increasing at  =
√
= − 2 is a local minimum value.
5
.
4
Thus, 

4
=
√
2 is a
⇒  0 () = 4 (−− ) + − (43 ) = 3 − (− + 4). Thus,  0 ()  0 if 0    4 and  0 ()  0 if
  0 or   4. So  is increasing on (0 4) and decreasing on (−∞ 0) and (4 ∞).
 changes from decreasing to increasing at  = 0 and from increasing to decreasing at  = 4. Thus,  (0) = 0 is a local
minimum value and  (4) = 256−4 [≈ 469] is a local maximum value.
17.  () = 3 − 32 − 9 + 4
⇒  0 () = 32 − 6 − 9 ⇒  00 () = 6 − 6 = 6( − 1).  00 ()  0 ⇔   1
and  00 ()  0 ⇔   1. Thus,  is concave upward on (1 ∞) and concave downward on (−∞ 1). There is an
inflection point at (1 (1)) = (1 −7).


⇒  0 () = 62 − 18 + 12 ⇒  00 () = 12 − 18 = 12  − 32 .  00 ()  0 ⇔




  32 and  00 ()  0 ⇔   32 . Thus,  is concave upward on 32  ∞ and concave downward on −∞ 32 . There is an


inflection point at 32  32 .
18.  () = 23 − 92 + 12 − 3
19.  () = sin2  − cos 2, 0 ≤  ≤ .
 0 () = 2 sin  cos  + 2 sin 2 = sin 2 + 2 sin 2 = 3 sin 2 and
00
 00 () = 6 cos 2.  00 ()  0 ⇔ cos 2  0 ⇔ 0    4 and 3
4     and  ()  0 ⇔






. There
. Thus,  is concave upward on 0 4 and 3
  and concave downward on 4  3
cos 2  0 ⇔ 4    3
4
4
4




1
are inflection points at 4  12 and 3
.
4  2
20.  () = ln(2 + sin ), 0 ≤  ≤ 2.
 0 () =
cos 
1
(cos ) =
and
2 + sin 
2 + sin 
(2 + sin )(− sin ) − cos  (cos )
−2 sin  − sin2  − cos2 
−2 sin  − (sin2  + cos2 )
=
=
2
2
(2 + sin )
(2 + sin )
(2 + sin )2
−2 sin  − 1
1 + 2 sin 
=
=−
.
(2 + sin )2
(2 + sin )2
 00 () =
 00 ()  0 ⇒ 1 + 2 sin   0 ⇔ sin   − 12
and  00 ()  0 ⇒ 1 + 2 sin   0 ⇔


and concave downward on
or 11
   2. Thus,  is concave upward on 7
, 11
sin   − 12 ⇔ 0    7
6
6
6
6
 7 
 11




 7
0, 6 and 6 , 2 . There are inflection points at 6 , ln 32 and 11
, ln 32 .
6
21.  () = ln(2 + 5)
⇒  0 () =
⇔
7
6

11
6
2
1
(2) = 2
and
2 + 5
 +5
(2 + 5)(2) − 2(2)
22 + 10 − 42
−22 + 10
2(2 − 5)
=
=
=
−
.
(2 + 5)2
(2 + 5)2
(2 + 5)2
(2 + 5)2
√
√
 00 ()  0 ⇒ 2 − 5  0 ⇒ 2  5 ⇒ − 5    5 and  00 ()  0 ⇒ 2 − 5  0 ⇒ 2  5 ⇒
 00 () =
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°
SECTION 4.3
WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
¤
349
√
√
√ 
 √ √ 

√

  − 5 or   5. Thus,  is concave upward on − 5 5 and concave downward on −∞ − 5 and
5 ∞ .
 √

√

There are inflection points at − 5 ln 10 and
5 ln 10 .
22.  () =

+2

 00 () =
⇒  0 () =
( + 2) −  ( )
 [( + 2) −  ]
2
=
= 
.

2

2
( + 2)
( + 2)
( + 2)2
( + 2)2 · 2 − 2 · 2( + 2)
2 ( + 2)[( + 2) − 2 ]
2 (2 −  )
=
=
.
[( + 2)2 ]2
( + 2)4
( + 2)3
 00 ()  0 ⇔ 2 −   0 ⇔   2 ⇔   ln 2 and  00 ()  0 ⇔ 2 −   0 ⇔   2 ⇔
  ln 2. Thus,  is concave upward on (−∞ ln 2) and concave downward on (ln 2 ∞). There is an inflection point at




2
(ln 2  (ln 2)) = ln 2
= ln 2 12 .
2+2
23. (a)  () = 4 − 22 + 3


⇒  0 () = 43 − 4 = 4 2 − 1 = 4( + 1)( − 1).
Interval
+1
4
−1
 0 ()

  −1
−
−
−
−
decreasing on (−∞ −1)
01
+
+
+
−
decreasing on (0 1)
1
−
−1    0
+
−
+
−
+
+
+
increasing on (−1 0)
increasing on (1 ∞)
(b)  changes from increasing to decreasing at  = 0 and from decreasing to increasing at  = −1 and  = 1. Thus,
 (0) = 3 is a local maximum value and  (±1) = 2 are local minimum values.
√ 
√ 
√
√



(c)  00 () = 122 − 4 = 12 2 − 13 = 12  + 1 3  − 1 3 .  00 ()  0 ⇔   −1 3 or   1 3 and
√
√
√


√

33 ∞ and concave
 00 ()  0 ⇔ −1 3    1 3. Thus,  is concave upward on −∞ − 33 and
√

 √

 √
.
downward on − 33 33 . There are inflection points at ± 33 22
9
24. (a)  () =
2

+1
⇒  0 () =
(2 + 1)(1) − (2)
1 − 2
( + 1)( − 1)
= 2
=−
. Thus,  0 ()  0 if
2
2
( + 1)
( + 1)2
(2 + 1)2
( + 1)( − 1)  0 ⇔ −1    1, and  0 ()  0 if   −1 or   1. So  is increasing on (−1 1) and  is
decreasing on (−∞ −1) and (1 ∞).
(b)  changes from decreasing to increasing at  = −1 and from increasing to decreasing at  = 1. Thus,  (−1) = − 12 is a
local minimum value and  (1) =
1
2
is a local maximum value.
(2 + 1)2 (−2) − (1 − 2 )[2(2 + 1)(2)]
(2 + 1)(−2)[(2 + 1) + 2(1 − 2 )]
2(2 − 3)
=
=
.
2
2
2
2
4
[( + 1) ]
( + 1)
(2 + 1)3
√
√
√
√
 00 ()  0 ⇔ − 3    0 or   3, and  00 ()  0 ⇔   − 3 or 0    3. Thus,  is concave
√ 
√


 √ 
 √ 
3 ∞ and concave downward on −∞ − 3 and 0 3 . There are inflection points at
upward on − 3 0 and
√
 √

√ √

− 3 − 34 , (0 0), and
3 34 .
(c)  00 () =
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°
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
25. (a)  () = 2 −  − ln 
⇒  0 () = 2 − 1 −
22 −  − 1
(2 + 1)( − 1)
1
=
=
. Thus,  0 ()  0 if   1



[note that   0] and  0 ()  0 if 0    1. So  is increasing on (1 ∞) and  is decreasing on (0 1).
(b)  changes from decreasing to increasing at  = 1. Thus, (1) = 0 is a local minimum value.
(c)  00 () = 2 + 12  0 for all , so  is concave upward on (0 ∞). There is no inflection point.
26. (a)  () = 2 ln 
⇒  0 () = 2 (1) + (ln )(2) =  + 2 ln  = (1 + 2 ln ). The domain of  is (0 ∞), so
the sign of  0 is determined solely by the factor 1 + 2 ln .  0 ()  0 ⇔ ln   − 12
⇔   −12 [ 061]
and  0 ()  0 ⇔ 0    −12 . So  is increasing on (−12  ∞) and  is decreasing on (0 −12 ).
(b)  changes from decreasing to increasing at  = −12 . Thus, (−12 ) = (−12 )2 ln(−12 ) = −1 (−12) = −1(2)
[ −018] is a local minimum value.
(c)  0 () = (1 + 2 ln ) ⇒  00 () = (2) + (1 + 2 ln ) · 1 = 2 + 1 + 2 ln  = 3 + 2 ln .  00 ()  0 ⇔
3 + 2 ln   0 ⇔ ln   −32 ⇔   −32 [ 022]. Thus,  is concave upward on (−32  ∞) and  is
concave downward on (0 −32 ). (−32 ) = (−32 )2 ln −32 = −3 (−32) = −3(23 ) [ −007]. There is a
 


point of inflection at −32   (−32 ) = −32  −3(23 ) .
27. (a)  () = 2
⇒  0 () = (22 ) + 2 (1) = 2 (2 + 1). Thus,  0 ()  0 if   − 12 and  0 ()  0 if   − 12 .




So  is increasing on − 12  ∞ and  is decreasing on −∞ − 12 .
 
(b)  changes from decreasing to increasing at  = − 12 . Thus,  − 12 = − 12 −1 = −1(2) [≈ −018] is a local
minimum value.
(c)  00 () = 2 (2) + (2 + 1) · 22 = 22 [1 + (2 + 1)] = 22 (2 + 2) = 42 ( + 1).  00 ()  0 ⇔   −1
and  00 ()  0 ⇔   −1. Thus,  is concave upward on (−1 ∞) and  is concave downward on (−∞ −1).




There is an inflection point at −1 −−2 , or −1 −12 .
28. (a)  () = cos2  − 2 sin , 0 ≤  ≤ 2.
 0 () = −2 cos  sin  − 2 cos  = −2 cos  (1 + sin ). Note that
1 + sin  ≥ 0 [since sin  ≥ −1], with equality ⇔ sin  = −1 ⇔  =
[since 0 ≤  ≤ 2] ⇒
3
2
cos  = 0. Thus,  0 ()  0 ⇔ cos   0 ⇔ 2    3
and  0 ()  0 ⇔ cos   0 ⇔ 0   
2



  3 

and  is decreasing on 0 2 and 3
or 3
2    2. Thus,  is increasing on 2  2
2  2 .
(b)  changes from decreasing to increasing at  = 2 and from increasing to decreasing at  =
 
= 2 is a local maximum value.
local minimum value and  3
2
3
.
2
Thus, 

2
(c)  00 () = 2 sin  (1 + sin ) − 2 cos2  = 2 sin  + 2 sin2  − 2(1 − sin2 )
= 4 sin2  + 2 sin  − 2 = 2(2 sin  − 1)(sin  + 1)
so  00 ()  0 ⇔ sin  
1
2
⇔

6

5
,
6
and  00 ()  0 ⇔ sin  
1
2
and sin  6= −1 ⇔
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°

2
= −2 is a
SECTION 4.3
WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
¤
351


  5 
3
3
and concave downward on 0 6 ,
0    6 or 5
6    2 or 2    2 Thus,  is concave upward on 6  6




 5 3 


 2 , and 3
 2 . There are inflection points at 6  − 14 and 5
 − 14 .
6
2
6
29.  () = 1 + 32 − 23
⇒  0 () = 6 − 62 = 6(1 − ).
First Derivative Test:  0 ()  0 ⇒ 0    1 and  0 ()  0 ⇒   0 or   1. Since  0 changes from negative
to positive at  = 0,  (0) = 1 is a local minimum value; and since  0 changes from positive to negative at  = 1, (1) = 2 is
a local maximum value.
Second Derivative Test:  00 () = 6 − 12.  0 () = 0 ⇔  = 0 1.  00 (0) = 6  0 ⇒  (0) = 1 is a local
minimum value.  00 (1) = −6  0 ⇒  (1) = 2 is a local maximum value.
Preference: For this function, the two tests are equally easy.
30.  () =
2
−1
⇒  0 () =
( − 1)(2) − 2 (1)
2 − 2
( − 2)
=
=
.
( − 1)2
( − 1)2
( − 1)2
First Derivative Test:  0 ()  0 ⇒   0 or   2 and  0 ()  0 ⇒ 0    1 or 1    2. Since  0 changes
from positive to negative at  = 0,  (0) = 0 is a local maximum value; and since  0 changes from negative to positive at
 = 2,  (2) = 4 is a local minimum value.
Second Derivative Test:
 00 () =
( − 1)2 (2 − 2) − (2 − 2)2( − 1)
2( − 1)[( − 1)2 − (2 − 2)]
2
=
=
.
2
2
[( − 1) ]
( − 1)4
( − 1)3
 0 () = 0 ⇔  = 0 2.  00 (0) = −2  0 ⇒  (0) = 0 is a local maximum value.  00 (2) = 2  0 ⇒  (2) = 4 is a
local minimum value.
Preference: Since calculating the second derivative is fairly difficult, the First Derivative Test is easier to use for this
function.
31.  0 () = ( − 4)2 ( + 3)7 ( − 5)8 . The factors ( − 4)2 and ( − 5)8 are nonnegative. Hence, the sign of  0 is determined
by the sign of ( + 3)7 , which is positive for   −3. Thus,  increases on the intervals (−3 4), (4 5), and (5 ∞). Note that
 is differentiable and  0 ()  0 on the interval (−3 ∞) except for the numbers  = 4 and  = 5. By applying the result of
Exercise 4.3.97, we can say that  is increasing on the entire interval (−3 ∞).
32. (a)  () = 4 ( − 1)3
⇒  0 () = 4 · 3( − 1)2 + ( − 1)3 · 43 = 3 ( − 1)2 [3 + 4( − 1)] = 3 ( − 1)2 (7 − 4)
The critical numbers are 0, 1, and 47 .
(b)  00 () = 32 ( − 1)2 (7 − 4) + 3 · 2( − 1)(7 − 4) + 3 ( − 1)2 · 7
= 2 ( − 1) [3( − 1)(7 − 4) + 2(7 − 4) + 7( − 1)]
Now  00 (0) =  00 (1) = 0, so the Second Derivative Test gives no information for  = 0 or  = 1.
   2  4

 
  2    
− 1 0 + 0 + 7 47 47 − 1 = 47 − 37 (4) − 37  0, so there is a local minimum at  = 47 .
 00 47 = 47
7




(c)  0 is positive on (−∞ 0), negative on 0 47 , positive on 47  1 , and positive on (1 ∞). So  has a local maximum at
 = 0, a local minimum at  = 47 , and no local maximum or minimum at  = 1.
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°
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
33. (a) By the Second Derivative Test, if  0 (2) = 0 and  00 (2) = −5  0,  has a local maximum at  = 2.
(b) If  0 (6) = 0, we know that  has a horizontal tangent at  = 6. Knowing that  00 (6) = 0 does not provide any additional
information since the Second Derivative Test fails. For example, the first and second derivatives of  = ( − 6)4 ,
 = −( − 6)4 , and  = ( − 6)3 all equal zero for  = 6, but the first has a local minimum at  = 6, the second has a
local maximum at  = 6, and the third has an inflection point at  = 6.
34. (a)  0 ()  0 and  00 ()  0 for all 
The function must be always decreasing (since the first derivative is always
negative) and concave downward (since the second derivative is always
negative).
(b)  0 ()  0 and  00 ()  0 for all 
The function must be always increasing (since the first derivative is always
positive) and concave upward (since the second derivative is always
positive).
35. (a)  0 ()  0 and  00 ()  0 for all 
The function must be always increasing (since the first derivative is always
positive) and concave downward (since the second derivative is always
negative).
(b)  0 ()  0 and  00 ()  0 for all 
The function must be always decreasing (since the first derivative is always
negative) and concave upward (since the second derivative is always
positive).
36. Vertical asymptote  = 0
 0 ()  0 if   −2 ⇒  is increasing on (−∞ −2).
 0 ()  0 if   −2 ( 6= 0) ⇒  is decreasing on (−2 0) and (0 ∞).
 00 ()  0 if   0 ⇒  is concave downward on (−∞ 0).
 00 ()  0 if   0 ⇒  is concave upward on (0 ∞).
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°
SECTION 4.3
37.  0 (0) =  0 (2) =  0 (4) = 0
WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
⇒ horizontal tangents at  = 0, 2, 4.
 ()  0 if   0 or 2    4 ⇒  is increasing on (−∞ 0) and (2 4).
0
 0 ()  0 if 0    2 or   4 ⇒  is decreasing on (0 2) and (4 ∞).
 00 ()  0 if 1    3 ⇒  is concave upward on (1 3).
 00 ()  0 if   1 or   3 ⇒  is concave downward on (−∞ 1)
and (3 ∞). There are inflection points when  = 1 and 3.
38.  0 ()  0 for all  6= 1
⇒  is increasing on (−∞ 1) and (1 ∞).
Vertical asymptote  = 1
 00 ()  0 if   1 or   3 ⇒  is concave upward on (−∞ 1) and (3 ∞).
 00 ()  0 if 1    3 ⇒  is concave downward on (1 3).
There is an inflection point at  = 3.
39.  0 (5) = 0
⇒ horizontal tangent at  = 5.
 0 ()  0 when   5 ⇒  is decreasing on (−∞ 5).
 0 ()  0 when   5 ⇒  is increasing on (5 ∞).
 00 (2) = 0,  00 (8) = 0,  00 ()  0 when   2 or   8,
 00 ()  0 for 2    8 ⇒  is concave upward on (2 8) and concave downward on (−∞ 2) and (8 ∞).
There are inflection points at  = 2 and  = 8.
lim  () = 3,
→∞
lim  () = 3 ⇒  = 3 is a horizontal asymptote.
→−∞
40.  0 (0) =  0 (4) = 0
⇒ horizontal tangents at  = 0 and 4.
 () = 1 if   −1 ⇒  is a line with slope 1 on (−∞ −1).
0
 0 ()  0 if 0    2 ⇒  is increasing on (0 2).
 0 ()  0 if −1    0 or 2    4 or   4 ⇒  is decreasing on (−1 0),
(2 4), and (4 ∞).
lim  0 () = ∞ ⇒  0 increases without bound as  → 2− .
→2−
lim  0 () = −∞ ⇒  0 decreases without bound as  → 2+ .
→2+
 00 ()  0 if −1    2 or 2    4 ⇒  is concave upward on (−1 2) and (2 4).
 00 ()  0 if   4 ⇒  is concave downward on (4 ∞).
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°
¤
353
354
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
41.  0 ()  0 if  6= 2
⇒  is increasing on (−∞ 2) and (2 ∞).
 00 ()  0 if   2 ⇒  is concave upward on (−∞ 2).
 00 ()  0 if   2 ⇒  is concave downward on (2 ∞).
 has inflection point (2 5) ⇒  changes concavity at the point (2 5).
lim  () = 8 ⇒  has a horizontal asymptote of  = 8 as  → ∞.
→∞
lim () = 0 ⇒  has a horizontal asymptote of  = 0 as  → −∞.
→−∞
42. (a)
2 

 0 ( is increasing) and 2  0 ( is concave upward) at point .


(b)
2 

 0 ( is decreasing) and 2  0 ( is concave downward) at point .


(c)
2 

 0 ( is decreasing) and 2  0 ( is concave upward) at point .


Note: At ,
2 
2 


 0 and 2  0. At ,
= 0 and 2 ≤ 0.




43. (a)  is increasing where  0 is positive, that is, on (0 2), (4 6), and (8 ∞); and decreasing where  0 is negative, that is, on
(2 4) and (6 8).
(b)  has local maxima where  0 changes from positive to negative, at  = 2 and at  = 6, and local minima where  0 changes
from negative to positive, at  = 4 and at  = 8.
(c)  is concave upward (CU) where  0 is increasing, that is, on (3 6) and (6 ∞), and concave downward (CD) where  0 is
decreasing, that is, on (0 3).
(d) There is a point of inflection where  changes from
(e)
being CD to being CU, that is, at  = 3.
44. (a)  is increasing where  0 is positive, on (1 6) and (8 ∞), and decreasing where  0 is negative, on (0 1) and (6 8).
(b)  has a local maximum where  0 changes from positive to negative, at  = 6, and local minima where  0 changes from
negative to positive, at  = 1 and at  = 8.
(c)  is concave upward where  0 is increasing, that is, on (0 2), (3 5), and (7 ∞), and concave downward where  0 is
decreasing, that is, on (2 3) and (5 7).
(d) There are points of inflection where  changes its
(e)
direction of concavity, at  = 2,  = 3,  = 5 and
 = 7.
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°
SECTION 4.3
45. (a)  () = 3 − 32 + 4
WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
¤
355
⇒  0 () = 32 − 6 = 3( − 2).
Interval
0
02
2
3
−2
 0 ()

−
−
+
increasing on (−∞ 0)
+
−
decreasing on (0 2)
+
+
+
−
increasing on (2 ∞)
(b)  changes from increasing to decreasing at  = 0 and from decreasing to increasing at  = 2. Thus,  (0) = 4 is a local
maximum value and  (2) = 0 is a local minimum value.
(d)
(c)  00 () = 6 − 6 = 6( − 1).  00 () = 0 ⇔  = 1.  00 ()  0 on
00
(1 ∞) and  ()  0 on (−∞ 1). So  is concave upward on (1 ∞) and
 is concave downward on (−∞ 1). There is an inflection point at (1 2).
46. (a)  () = 36 + 32 − 23
⇒  0 () = 36 + 6 − 62 = −6(2 −  − 6) = −6( + 2)( − 3).  0 ()  0 ⇔
−2    3 and  0 ()  0 ⇔   −2 or   3. So  is increasing on (−2 3) and  is decreasing on (−∞ −2)
and (3 ∞).
(b)  changes from increasing to decreasing at  = 3, so  (3) = 81 is a local maximum value.  changes from decreasing to
increasing at  = −2, so  (−2) = −44 is a local minimum value.


(c)  00 () = 6 − 12.  00 () = 0 ⇔  = 12 .  00 ()  0 on −∞ 12




and  00 ()  0 on 12  ∞ . So  is CU on −∞ 12 and  is CD on
1



.
 ∞ . There is an inflection point at 12  37
2
2
47. (a)  () =
1 4

2
(d)
− 42 + 3 ⇒  0 () = 23 − 8 = 2(2 − 4) = 2( + 2)( − 2).  0 ()  0 ⇔ −2    0
or   2, and  0 ()  0 ⇔   −2 or 0    2. So  is increasing on (−2 0) and (2 ∞) and  is decreasing on
(−∞ −2) and (0 2).
(b)  changes from increasing to decreasing at  = 0, so  (0) = 3 is a local maximum value.
 changes from decreasing to increasing at  = ±2, so  (±2) = −5 is a local minimum value.
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°
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION



(c)  00 () = 62 − 8 = 6 2 − 43 = 6  +
√2
3

−
√2
3

.
(d)




 00 () = 0 ⇔  = ± √23 .  00 ()  0 on −∞ − √23 and √23  ∞




and  00 ()  0 on − √23  √23 . So  is CU on −∞ − √23 and




, and  is CD on − √23  √23 . There are inflection points at
√2  ∞
3


± √23  − 13
.
9
48. (a) () = 200 + 83 + 4
⇒ 0 () = 242 + 43 = 42 (6 + ) = 0 when  = −6 and when  = 0.
 0 ()  0 ⇔   −6 [ 6= 0] and  0 ()  0 ⇔   −6, so  is decreasing on (−∞ −6) and  is increasing
on (−6 ∞), with a horizontal tangent at  = 0.
(b) (−6) = −232 is a local minimum value. There is no local maximum value.
(d)
(c)  00 () = 48 + 122 = 12(4 + ) = 0 when  = −4 and when  = 0.
 00 ()  0 ⇔   −4 or   0 and  00 ()  0 ⇔ −4    0, so  is
CU on (−∞ −4) and (0 ∞), and  is CD on (−4 0). There are inflection
points at (−4 −56) and (0 200).
49. (a) () = 34 − 83 + 12
⇒  0 () = 123 − 242 = 122 ( − 2).
Interval
122
−2
0 ()

0
+
+
−
−
decreasing on (−∞ 0)
02
2
+
+
+
increasing on (2 ∞)
−
−
decreasing on (0 2)
(b)  changes from decreasing to increasing at  = 2. Thus, (2) = −4 is a local minimum value.
(c)  00 () = 362 − 48 = 12(3 − 4).  00 () = 0 ⇔  = 0 or  = 43 .
Interval
12
3 − 4
 00 ()

−
−
+
+
+
+
concave up on (−∞ 0)


concave down on 0 43


concave up on 43  ∞
0
0

4
3
4
3
+
−
There are inflection points at (0 12) and
50. (a) () = 53 − 35
−
4
3

.
 68
27
(d)
⇒ 0 () = 152 − 154 = 152 (1 − 2 ) = 152 (1 + )(1 − ). 0 ()  0 ⇔
−1    0 and 0    1 [note that 0 (0) = 0] and 0 ()  0 ⇔   −1 or   1. So  is increasing on (−1 1)
and  is decreasing on (−∞ −1) and (1 ∞).
(b)  changes from decreasing to increasing at  = −1, so (−1) = −2 is a local minimum value.  changes from increasing
to decreasing at  = 1, so (1) = 2 is a local maximum value.
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°
SECTION 4.3
WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
¤
357
(c) 00 () = 30 − 603 = 30(1 − 22 ). 00 () = 0 ⇔  = 0 or
(d)
√
√


1 − 22 = 0 ⇔  = 0 or  = ±1 2. 00 ()  0 on −∞ −1 2 and
√ 
√ 


 √

0 1 2 , and 00 ()  0 on −1 2 0 and 1 2 ∞ . So  is CU on
√ 
√ 
√ 



 √

−∞ −1 2 and 0 1 2 , and  is CD on −1 2 0 and 1 2 ∞ .
√

 √ 
 √
 √ 
There are inflection points at −1 2 −7 4 2 , (0 0), and 1 2 7 4 2 .
51. (a)  () =  7 − 112 2
⇒  0 () = 7 6 − 224 = 7( 5 − 32).  0 () = 0 ⇒  = 0, 2.
Interval
0
02
2
7
 5 − 32
 0 ()

−
−
+
increasing on (−∞ 0)
decreasing on (0 2)
+
+
−
+
+
−
increasing on (2 ∞)
(b)  changes from increasing to decreasing at  = 0 and from decreasing to increasing at  = 2. Thus,  (0) = 0 is a local
maximum value and  (2) = −320 is a local minimum value.


(c)  00 () = 42 5 − 224 = 14 3 5 − 16 .  00 () = 0 ⇔ 3 5 = 16 ⇔

 5 = 16
⇔  = 5 16
[call this value ].  00 ()  0 ⇔    and
3
3
(d)
 00 ()  0 ⇔   . So,  is concave up on (, ∞) and concave down
on (−∞, ). There is an inflection point at



320 5 256
≈ (1398 −2084).
( ()) = 5 16

−
3
3
9

3
52. (a)  () = 2 − 4
⇒  0 () = 3(2 − 4)2 (2) = 6(2 − 4)2 . Since (2 − 4)2 is nonnegative, the sign of  0 () is
determined by the sign of 6. Thus,  0 ()  0 ⇔   0 [ 6= −2] and  0 ()  0 ⇔   0 [ 6= 2]. So  is
increasing on (0 2) and (2 ∞), and  is decreasing on (−∞ −2) and (−2 0). By Exercise 4.3.97, we can say that  is
increasing on (0 ∞) and decreasing on (−∞ 0).
(b)  changes from decreasing to increasing at  = 0. Thus, (0) = −64 is a local minimum value.
(c)  00 () = 6 · 2(2 − 4)(2) + (2 − 4)2 · 6 = 6(2 − 4)[42 + (2 − 4)]
√
 √

5 − 2
= 6(2 − 4)(52 − 4) = 6( + 2)( − 2) 5  + 2
Interval
  −2
−2    − √25
− √25
√2
5

√2
5
2
2
+2
√
5+ 2
√
5 − 2
−2
 00 ()

−
−
−
−
+
+
−
−
−
−
+
+
−
−
+
+
+
+
−
−
+
+
+
+
+
concave up on (−∞ −2)


concave down on −2 − √25


concave up on − √25  √25


concave down on √25  2
concave up on (2 ∞)
 


2
2
4096
4096
, √ −
, and (2 0).
There are inflection points at (−2 0), − √  −
125
125
5
5
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°
358
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
(d)
√
53. (a)  () =  6 − 
⇒
 0 () =  · 12 (6 − )−12 (−1) + (6 − )12 (1) = 12 (6 − )−12 [− + 2(6 − )] =
−3 + 12
√
.
2 6−
 0 ()  0 ⇔ −3 + 12  0 ⇔   4 and  0 ()  0 ⇔ 4    6. So  is increasing on (−∞ 4) and  is
decreasing on (4 6).
√
(b)  changes from increasing to decreasing at  = 4, so  (4) = 4 2 is a local maximum value. There is no local minimum
value.
(c)  0 () = − 32 ( − 4)(6 − )−12 ⇒




 00 () = − 32 ( − 4) − 12 (6 − )−32 (−1) + (6 − )−12 (1)
(d)
3( − 8)
3 1
= − · (6 − )−32 [( − 4) + 2(6 − )] =
2 2
4(6 − )32
 00 ()  0 on (−∞ 6), so  is CD on (−∞ 6). There is no inflection point.
54. (a) () = 523 − 253
⇒ 0 () =
10 −13
3 
−
10 23
3 
=
10 −13
(1
3 
− ) =
10(1 − )
.
313
0 ()  0 ⇔ 0    1 and 0 ()  0 ⇔   0 or   1. So  is increasing on (0 1) and  is decreasing on
(−∞ 0) and (1 ∞).
(b)  changes from decreasing to increasing at  = 0, so (0) = 0 is a local minimum value.  changes from increasing to
decreasing at  = 1, so (1) = 3 is a local maximum value. Note that the First Derivative Test applies at  = 0 even
though 0 is not defined at  = 0, since  is continuous at 0.
(c) 00 () = − 10
−43 −
9
20 −13

9
= − 10
−43 (1 + 2). 00 ()  0 ⇔
9
(d)
  − 12 and 00 ()  0 ⇔ − 12    0 or   0. So  is CU on




−∞ − 12 and  is CD on − 12  0 and (0 ∞). The only change in concavity
√ 

occurs at  = − 12 , so there is an inflection point at − 12  6 3 4 .
55. (a) () = 13 ( + 4) = 43 + 413
⇒  0 () = 43 13 + 43 −23 = 43 −23 ( + 1) =
4( + 1)
√
.  0 ()  0 if
3
3 2
−1    0 or   0 and  0 ()  0 for   −1, so  is increasing on (−1 ∞) and  is decreasing on (−∞ −1).
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°
SECTION 4.3
WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
(b) (−1) = −3 is a local minimum value.
¤
359
(d)
(c)  00 () = 49 −23 − 89 −53 = 49 −53 ( − 2) =
4( − 2)
√
.
3
9 5
 00 ()  0 for 0    2 and  00 ()  0 for   0 and   2, so  is
concave downward on (0 2) and concave upward on (−∞ 0) and (2 ∞).
√ 

There are inflection points at (0 0) and 2 6 3 2 ≈ (2 756).
56. (a)  () = ln(2 + 9)
⇒  0 () =
2
1
· 2 = 2
.  0 ()  0 ⇔ 2  0 ⇔   0 and  0 ()  0 ⇔
2 + 9
 +9
  0. So  is increasing on (0 ∞) and  is decreasing on (−∞ 0).
(b)  changes from decreasing to increasing at  = 0, so  (0) = ln 9 is a
(d)
local minimum value. There is no local maximum value.
(c)  00 () =
(2 + 9) · 2 − 2(2)
18 − 22
−2( + 3)( − 3)
= 2
=
.
2
2
( + 9)
( + 9)2
(2 + 9)2
 00 () = 0 ⇔  = ±3.  00 ()  0 on (−3 3) and  00 ()  0 on
(−∞ −3) and (3 ∞). So  is CU on (−3 3), and  is CD on (−∞ −3)
and (3 ∞). There are inflection points at (±3 ln 18).
57. (a)  () = 2 cos  + cos2 , 0 ≤  ≤ 2
⇒  0 () = −2 sin  + 2 cos  (− sin ) = −2 sin  (1 + cos ).
 0 () = 0 ⇔  = 0  and 2.  0 ()  0 ⇔     2 and  0 ()  0 ⇔ 0    . So  is increasing
on ( 2) and  is decreasing on (0 ).
(b)  () = −1 is a local minimum value.
(c)  0 () = −2 sin  (1 + cos ) ⇒
 00 () = −2 sin  (− sin ) + (1 + cos )(−2 cos ) = 2 sin2  − 2 cos  − 2 cos2 
= 2(1 − cos2 ) − 2 cos  − 2 cos2  = −4 cos2  − 2 cos  + 2
= −2(2 cos2  + cos  − 1) = −2(2 cos  − 1)(cos  + 1)
(d)
Since −2(cos  + 1)  0 [for  6= ],  00 ()  0 ⇒ 2 cos  − 1  0 ⇒ cos   12 ⇒ 3    5
3 and


  5 
 00 ()  0 ⇒ cos   12 ⇒ 0    3 or 5
and  is CD on 0 3 and
3    2. So  is CU on 3  3
 5




  
   5 5 
= 34 .
 2 . There are points of inflection at 3   3 = 3  54 and 5
  5
3
3
3
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°
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
58. (a) () =  − sin , 0 ≤  ≤ 4
⇒  0 () = 1 − cos .  0 () = 0 ⇔ cos  = 1 ⇔  = 0, 2, and 4.
 0 ()  0 ⇔ cos   1, which is true for all  except integer multiples of 2, so  is increasing on (0 4)
since  0 (2) = 0.
(b) There is no local maximum or minimum.
00
(d)
00
00
(c)  () = sin .  ()  0 if 0     or 2    3, and  ()  0 if
    2 or 3    4. So  is CU on (0 ) and (2 3), and  is
CD on ( 2) and (3 4). There are inflection points at ( ), (2 2),
and (3 3).
1
1
−
has domain (−∞ 0) ∪ (0 ∞).
 2




 2

1
1
 +−1
1
1
1 + − 2 = 1, so  = 1 is a HA. lim 1 + − 2 = lim
= −∞ since
(a) lim
→±∞


 
2
→0+
→0+
59.  () = 1 +
(2 +  − 1) → −1 and 2 → 0 as  → 0+ [a similar argument can be made for  → 0− ], so  = 0 is a VA.
(b)  0 () = −
1
2
1
+ 3 = − 3 ( − 2).  0 () = 0 ⇔  = 2.  0 ()  0 ⇔ 0    2 and  0 ()  0 ⇔   0
2


or   2. So  is increasing on (0 2) and  is decreasing on (−∞ 0) and (2 ∞).
(c)  changes from increasing to decreasing at  = 2, so  (2) =
5
4
is a local
(e)
maximum value. There is no local minimum value.
(d)  00 () =
2
6
2
− 4 = 4 ( − 3).  00 () = 0 ⇔  = 3.  00 ()  0 ⇔
3


  3 and  00 ()  0 ⇔   0 or 0    3. So  is CU on (3 ∞) and 


.
is CD on (−∞ 0) and (0 3). There is an inflection point at 3 11
9
2 − 4
has domain .
2 + 4
1 − 42
1
2 − 4
= lim
(a) lim
= = 1, so  = 1 is a HA. There is no vertical asymptote.
2
→±∞  + 4
→±∞ 1 + 42
1
60.  () =
(b)  0 () =
(2 + 4)(2) − (2 − 4)(2)
2[(2 + 4) − (2 − 4)]
16
=
= 2
.  0 ()  0 ⇔   0 and
(2 + 4)2
(2 + 4)2
( + 4)2
 0 ()  0 ⇔   0. So  is increasing on (0 ∞) and  is decreasing on (−∞ 0).
(c)  changes from decreasing to increasing at  = 0, so  (0) = −1 is a local minimum value.
(2 + 4)2 (16) − 16 · 2(2 + 4)(2)
16(2 + 4)[(2 + 4) − 42 ]
16(4 − 32 )
=
=
.
2
2
2
2
4
[( + 4) ]
( + 4)
(2 + 4)3
√
√
√
 00 () = 0 ⇔  = ±2 3.  00 ()  0 ⇔ −2 3    2 3
√
√
(e)
and  00 ()  0 ⇔   −2 3 or   2 3. So  is CU on
√
√ 
√ 


 √

−2 3 2 3 and  is CD on −∞ −2 3 and 2 3 ∞ .
√


There are inflection points at ±2 3 − 12 .
(d)  00 () =
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°
SECTION 4.3
WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
¤
61.  () = −2 has domain (−∞ 0) ∪ (0 ∞).
(a) lim −2 = lim
→±∞
→±∞
(b)  0 () = −2

2
2

1
1
= 0 = 1, so  = 1 is a HA. lim −2 = ∞, so  = 0 is a VA.

2
→0−
=
2
.  is always positive on its domain, so  increases on (−∞ 0) and (0 ∞).
2 2
(c)  has no local maximum or minimum value.




2
2 2 · 0 − 2 · 2 · 2 − 2 + 2 · 2

42 (1 − )
4(1 − )
(d)  00 () =
=
= 4 2
2
2
2
2
 
(  )
(2 2 )
 00 ()  0 ⇔   1 [ 6= 0] and  00 ()  0 ⇔
  1 [since  and 
4
2
(e)
are positive for  6= 0], so  is
concave up on (−∞ 0) and (0 1), and  is concave down on


(1 ∞). There is an inflection point at 1 −2  (1 014).
62.  () =

has domain { | 1 −  6= 0} = { |  6= 1} = { |  6= 0}.
1 − 
 
1

1
=
= −1, so  = −1 is a HA.
=
lim
= lim
→∞ 1 − 
→∞ (1 −  )
→∞ 1 − 1
0−1
(a) lim
0

= 0, so  = 0 is a HA.
=
→−∞ 1 − 
1−0
lim




→0+



=
−∞
and
lim
= ∞, so  = 0 is a VA.

1 − 
→0− 1 − 
(1 −  ) −  (− )
 [(1 −  ) +  ]

=
=
.  0 ()  0 for  6= 0, so  is increasing on

2

2
(1 −  )
(1 −  )
(1 −  )2
(b)  0 () =

lim
(−∞ 0) and (0 ∞).
(c) There is no local maximum or minimum.
(d)  00 () =
=
(1 −  )2  −  · 2(1 −  )(− )
[(1 −  )2 ]2
(e)
(1 −  ) [(1 −  ) + 2 ]
 ( + 1)
=
(1 −  )4
(1 −  )3
 00 ()  0 ⇔ (1 −  )3  0 ⇔   1 ⇔   0 and
 00 ()  0 ⇔   0. So  is CU on (−∞ 0) and  is CD on (0 ∞).
There is no inflection point.
2
63.  () = − has domain .
2
(a) lim − = lim
→±∞
→±∞
2
(b)  () = −
1
= 0, so  = 0 is a HA. There is no VA.
2
2
⇒  0 () = − (−2).  0 () = 0 ⇔  = 0.  0 ()  0 ⇔   0 and  0 ()  0 ⇔
  0. So  is increasing on (−∞ 0) and  is decreasing on (0 ∞).
(c)  changes from increasing to decreasing at  = 0, so (0) = 1 is a local maximum value. There is no local minimum
value.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
361
362
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
2
2
2
(d)  00 () = − (−2) + (−2)− (−2) = −2− (1 − 22 ).
√
 00 () = 0 ⇔ 2 = 12 ⇔  = ±1 2.  00 ()  0 ⇔
√
√
√
√
  −1 2 or   1 2 and  00 ()  0 ⇔ −1 2    1 2. So
√ 
√
√ 

 √


 is CU on −∞ −1 2 and 1 2 ∞ , and  is CD on −1 2 1 2 .


√
There are inflection points at ±1 2 −12 .
(e)
2
ln  has domain (0 ∞).
3


1 2
(a) lim  − 6  − 23 ln  = ∞ since ln  → −∞ as  → 0+ , so  = 0 is a VA. There is no HA.
64.  () =  − 16 2 −
→0+
(b)  0 () = 1 −
2
3 − 2 − 2
−(2 − 3 + 2)
−( − 1)( − 2)
1
−
=
=
=
.  0 ()  0 ⇔
3
3
3
3
3
( − 1)( − 2)  0 ⇔ 1    2 and  0 ()  0 ⇔ 0    1 or   2. So  is increasing on (1 2) and
 is decreasing on (0 1) and (2 ∞).
(c)  changes from decreasing to increasing at  = 1, so  (1) =
decreasing at  = 2, so  (2) =
4
3
−
2
3
5
6
is a local minimum value.  changes from increasing to
ln 2  087 is a local maximum value.
√
2
1
2 − 2
(d)  00 () = − + 2 =
.  00 ()  0 ⇔ 0    2 and
2
3
3
3
√
 √ 
00
 ()  0 ⇔   2. So  is CU on 0 2 and  is CD on
√

√ √

2 ∞ . There is an inflection point at
2 2 − 13 − 13 ln 2 .
(e)
65.  () = ln(1 − ln ) is defined when   0 (so that ln  is defined) and 1 − ln   0 [so that ln(1 − ln ) is defined].
The second condition is equivalent to 1  ln  ⇔    so  has domain (0 ).
(a) As  → 0+  ln  → −∞ so 1 − ln  → ∞ and  () → ∞ As  → −  ln  → 1−  so 1 − ln  → 0+ and
 () → −∞. Thus,  = 0 and  =  are vertical asymptotes. There is no horizontal asymptote.


1
1
1
0
−
=−
 0 on (0 )  Thus,  is decreasing on its domain, (0 ) 
(b)  () =
1 − ln 

(1 − ln )
(c)  0 () 6= 0 on (0 )  so  has no local maximum or minimum value.
(d)  00 () = −
=−
(e)
− [(1 − ln )]0
(−1) + (1 − ln )
=
2 (1 − ln )2
[(1 − ln )]2
ln 
2 (1 − ln )2
so  00 ()  0 ⇔ ln   0 ⇔ 0    1 Thus,  is CU on (0 1)
and CD on (1 )  There is an inflection point at (1 0) 
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°
SECTION 4.3
WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
¤
363
66.  () = arctan  has domain .
(a) lim arctan  =
→∞
arctan 
lim 
→−∞

2,
→∞
−2
=
(b)  () = arctan 
so lim arctan  = 2 [ 481], so  = 2 is a HA.
[ 021], so  = −2 is a HA. No VA.
⇒  0 () = arctan  ·
1
 0 for all . Thus,  is increasing on .
1 + 2
(c) There is no local maximum or minimum.


−2
1
1
(d)  00 () = arctan 
+
· arctan  ·
(1 + 2 )2
1 + 2
1 + 2
=
(e)
arctan 
(−2 + 1)
(1 + 2 )2
 00 ()  0 ⇔ −2 + 1  0 ⇔   12 and  00 ()  0 ⇔




  12 , so  is CU on −∞ 12 and  is CD on 12  ∞ . There is an
 

  

inflection point at 12   12 = 12  arctan(12) ≈ 12  159 .


⇒  0 () = 43 −  ⇒  0 () = 0 ⇔  = 3 4.  0 ()  0 ⇔   3 4 and






 0 ()  0 ⇔   3 4. Thus,  is increasing on 3 4 ∞ and decreasing on −∞ 3 4 .  changes from
67.  () = 4 − ,   0
decreasing to increasing at  =
 

3
4. Thus,  3 4 is a local minimum value.  00 () = 122 is positive except at  = 0,
so  is concave up on (−∞ 0) and (0 ∞). There are no inflection points.
The members of this family have one local minimum point with increasing
­coordinate and decreasing ­coordinate as  increases. The graphs are
concave up on (−∞ 0) and (0 ∞). Since the graphs are continuous at
 = 0, and the graphs lie above their tangents, we can say that the graphs
are concave up on (−∞ ∞). There is no inflection point.
68.  () = 3 − 32  + 23 ,   0
⇒  0 () = 32 − 32 = 3(2 − 2 ) ⇒  0 ()  0 ⇔ ||   and
 0 ()  0 ⇔ ||  . Thus,  is increasing on (−∞ −) and ( ∞), and  is decreasing on (− ).  changes from
increasing to decreasing at  = − and from decreasing to increasing at  = . Thus, (−) = 43 is a local maximum value
and  () = 0 is a local minimum value.
 00 () = 6, so  00 ()  0 ⇔   0 and  00 ()  0 ⇔   0. Thus,  is concave up on (0 ∞) and concave down


on (−∞ 0). There is an inflection point at 0 23 .
The members of this family have a local maximum point that moves higher
and to the left as  increases, and there is a local minimum point on the
­axis that moves to the right as  increases. The graphs are concave down
on (−∞ 0) and concave up on (0 ∞). There is an inflection point on the
­axis that moves higher as  increases.
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°
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¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
69. (a)
From the graph, we get an estimate of (1) ≈ 141 as a local maximum
value, and no local minimum value.
+1
 () = √
2 + 1
1−
⇒  0 () =
 0 () = 0 ⇔  = 1.  (1) =
.
+ 1)32
√
= 2 is the exact value.
(2
√2
2
(b) From the graph in part (a),  increases most rapidly somewhere between  = − 12 and  = − 14 . To find the exact value,
we need to find the maximum value of  0 , which we can do by finding the critical numbers of  0 .
√
√
22 − 3 − 1
3 ± 17
3 + 17
0
.
By
the
First
Derivative
Test
applied
to

corresponds
=
0
⇔

=
,

=
 00 () =
4
4
(2 + 1)52
to the minimum value of  0 and the maximum value of  0 occurs at  =
70. (a)
3−
√
17
4
≈ −028.
Tracing the graph gives us estimates of (0) = 0 for a local minimum value
and  (2) = 054 for a local maximum value.
 () = 2 −
⇒  0 () = − (2 − )  0 () = 0 ⇔  = 0 or 2.
 (0) = 0 and  (2) = 4−2 are the exact values.
(b) From the graph in part (a),  increases most rapidly around  = 34 . To find the exact value, we need to find the maximum


value of  0 , which we can do by finding the critical numbers of  0 .  00 () = − 2 − 4 + 2 = 0 ⇒
√
√
2. By the First Derivative Test applied to  0 ,  = 2 + 2 corresponds to the minimum value of  0 and the

√ 
√ 
√ 2
maximum value of  0 is at 2 − 2 2 − 2 −2+ 2 ≈ (059 019).
=2±
71.  () = sin 2 + sin 4
⇒  0 () = 2 cos 2 + 4 cos 4 ⇒  00 () = −4 sin 2 − 16 sin 4
(a) From the graph of  , it seems that  is CD on (0 08), CU on (08 16), CD on
(16 23), and CU on (23 ). The inflection points appear to be at (08 07),
(16 0), and (23 −07).
(b) From the graph of  00 (and zooming in near the zeros), it seems that  is CD on
(0 085), CU on (085 157), CD on (157 229), and CU on (229 ).
Refined estimates of the inflection points are (085 074), (157 0), and
(229 −074).
72.  () = ( − 1)2 ( + 1)3
⇒
 0 () = ( − 1)2 3( + 1)2 + ( + 1)3 2( − 1)
= ( − 1)( + 1)2 [3( − 1) + 2( + 1)] = ( − 1)( + 1)2 (5 − 1)
⇒
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°
SECTION 4.3
WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
¤
 00 () = (1)( + 1)2 (5 − 1) + ( − 1)(2)( + 1)(5 − 1) + ( − 1)( + 1)2 (5)
= ( + 1)[( + 1)(5 − 1) + 2( − 1)(5 − 1) + 5( − 1)( + 1)]
= ( + 1)[52 + 4 − 1 + 102 − 12 + 2 + 52 − 5]
= ( + 1)(202 − 8 − 4) = 4( + 1)(52 − 2 − 1)
(a) From the graph of  , it seems that  is CD on (−∞ −1), CU on (−1 −03),
CD on (−03 07), and CU on (07 ∞). The inflection points appear to be at
(−1 0), (−03 06), and (07 05).
(b) From the graph of  00 (and zooming in near the zeros), it seems that  is CD on
(−1 0), CU on (−1 −029), CD on (−029 069), and CU on (069 ∞).
Refined estimates of the inflection points are (−1 0), (−029 060), and
(069 046).
4 + 3 + 1
. In Maple, we define  and then use the command
2 +  + 1
73.  () = √
plot(diff(diff(f,x),x),x=-2..2);. In Mathematica, we define 
and then use Plot[Dt[Dt[f,x],x],{x,-2,2}]. We see that  00  0 for
  −06 and   00 [≈ 003] and  00  0 for −06    00. So  is CU
on (−∞ −06) and (00 ∞) and CD on (−06 00).
74.  () =
2 tan−1 
. It appears that  00 is positive (and thus  is concave
1 + 3
upward) on (−∞ −1), (0 07), and (25 ∞); and  00 is negative (and thus  is
concave downward) on (−1 0) and (07 25).
75. (a) The rate of increase of the population is initially very small, then gets larger until it reaches a maximum at about
 = 8 hours, and decreases toward 0 as the population begins to level off.
(b) The rate of increase has its maximum value at  = 8 hours.
(c) The population function is concave upward on (0 8) and concave downward on (8 18).
(d) At  = 8, the population is about 350, so the inflection point is about (8 350).
76. If () is the average SAT score as a function of time , then  0 ()  0 (since the SAT scores are declining) and  00 ()  0
(since the rate of decrease of the scores is increasing—becoming less negative).
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°
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366
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
77. If () is the size of the national deficit as a function of time , then at the time of the speech 0 ()  0 (since the deficit is
increasing), and 00 ()  0 (since the rate of increase of the deficit is decreasing).
78. (a) I’m very unhappy. It’s uncomfortably hot and  0 (3) = 2 indicates that the
temperature is increasing, and  00 (3) = 4 indicates that the rate of increase
is increasing. (The temperature is rapidly getting warmer.)
(b) I’m still unhappy, but not as unhappy as in part (a). It’s uncomfortably hot
and  0 (3) = 2 indicates that the temperature is increasing, but  00 (3) = −4
indicates that the rate of increase is decreasing. (The temperature is slowly
getting warmer.)
(c) I’m somewhat happy. It’s uncomfortably hot and  0 (3) = −2 indicates that
the temperature is decreasing, but  00 (3) = 4 indicates that the rate of
change is increasing. (The rate of change is negative but it’s becoming less
negative. The temperature is slowly getting cooler.)
(d) I’m very happy. It’s uncomfortably hot and  0 (3) = −2 indicates that the
temperature is decreasing, and  00 (3) = −4 indicates that the rate of change
is decreasing, that is, becoming more negative. (The temperature is rapidly
getting cooler.)
79. Most students learn more in the third hour of studying than in the eighth hour, so (3) − (2) is larger than (8) − (7).
In other words, as you begin studying for a test, the rate of knowledge gain is large and then starts to taper off, so  0 ()
decreases and the graph of  is concave downward.
80. At first the depth increases slowly because the base of the mug is wide.
But as the mug narrows, the coffee rises more quickly. Thus, the depth
 increases at an increasing rate and its graph is concave upward. The
rate of increase of  has a maximum where the mug is narrowest; that is,
when the mug is half full. It is there that the inflection point (IP) occurs.
Then the rate of increase of  starts to decrease as the mug widens and
the graph becomes concave down.
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°
SECTION 4.3
WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
¤
367
81. () =  − with  = 001,  = 4, and  = 007. We will find the
zeros of  00 for () =  − .
 0 () =  (−− ) + − (−1 ) = − (− + −1 )
 00 () = − (−−1 + ( − 1)−2 ) + (− + −1 )(−− )
= −2 − [− + ( − 1) + 2 2 − ]
= −2 − (2 2 − 2 + 2 − )
Using the given values of  and  gives us  00 () = 2 −007 (000492 − 056 + 12). So  00 () = 001 00 () and its zeros
are  = 0 and the solutions of 000492 − 056 + 12 = 0, which are 1 =
200
7
 2857 and 2 =
600
7
 8571.
At 1 minutes, the rate of increase of the level of medication in the bloodstream is at its greatest and at 2 minutes, the rate of
decrease is the greatest.
82. (a) As || → ∞,  = −2 (22 ) → −∞, and  → 0. The HA is  = 0. Since  takes on its maximum value at  = 0, so
2
does  . Showing this result using derivatives, we have  () = − (2
2
)
2
2
⇒  0 () = − (2 ) (−2 ).
 0 () = 0 ⇔  = 0. Because  0 changes from positive to negative at  = 0,  (0) = 1 is a local maximum. For
inflection points, we find  00 () = −
 00 () = 0 ⇔ 2 = 2
 −1
2
2
1  −2(22 )
−2(2 2 )
2

·
1
+

(−
)
= 2 − (2 ) (1 − 22 ).
2

⇔  = ±.  00 ()  0 ⇔ 2  2
⇔ −    .
So  is CD on (− ) and CU on (−∞ −) and ( ∞). IP at (± −12 ).
(b) Since we have IP at  = ±, the inflection points move away from the ­axis as  increases.
From the graph, we see that as  increases, the graph tends to spread out and
(c)
there is more area between the curve and the ­axis.
83.  () = 3 + 2 +  + 
⇒  0 () = 32 + 2 + .
We are given that (1) = 0 and  (−2) = 3, so  (1) =  +  +  +  = 0 and
 (−2) = −8 + 4 − 2 +  = 3. Also  0 (1) = 3 + 2 +  = 0 and
 0 (−2) = 12 − 4 +  = 0 by Fermat’s Theorem. Solving these four equations, we get


 = 29 ,  = 13 ,  = − 43 ,  = 79 , so the function is  () = 19 23 + 32 − 12 + 7 .
2
84.  () = 


2
2
2
⇒  0 () =   · 2 +  · 1 =  (22 + 1). For  (2) = 1 to be a maximum value, we
must have  0 (2) = 0. (2) = 1 ⇒ 1 = 24 and  0 (2) = 0 ⇒ 0 = (8 + 1)4 . So 8 + 1 = 0 [ 6= 0] ⇒
 = − 18 and now 1 = 2−12
⇒ =
√
/2.
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°
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CHAPTER 4
85.  =
1+
1 + 2
 00 =
=
APPLICATIONS OF DIFFERENTIATION
⇒ 0 =
(1 + 2 )(1) − (1 + )(2)
1 − 2 − 2
=
2
2
(1 +  )
(1 + 2 )2
⇒
(1 + 2 )2 (−2 − 2) − (1 − 2 − 2 ) · 2(1 + 2 )(2)
2(1 + 2 )[(1 + 2 )(−1 − ) − (1 − 2 − 2 )(2)]
=
[(1 + 2 )2 ]2
(1 + 2 )4
2(−1 −  − 2 − 3 − 2 + 42 + 23 )
2(3 + 32 − 3 − 1)
2( − 1)(2 + 4 + 1)
=
=
(1 + 2 )3
(1 + 2 )3
(1 + 2 )3
√ 
√
√
√

So  00 = 0 ⇒  = 1, −2 ± 3. Let  = −2 − 3,  = −2 + 3, and  = 1. We can show that () = 14 1 − 3 ,
√ 

 () = 14 1 + 3 , and  () = 1. To show that these three points of inflection lie on one straight line, we’ll show that the
slopes  and  are equal.
86.  =  () = − sin 
00
−
 =
⇒
√ 
√

3
1
1 − 14 1 − 3
3
 () −  ()
1
4 + 4
√  =
√ =
=
 =

−
4
1 − −2 − 3
3+ 3
√
√


3
1 − 14 1 + 3
− 14 3
 () −  ()
1
√  = 4
√ =
 =
=

−
4
1 − −2 + 3
3− 3
 0 = − cos  + sin (−− ) = − (cos  − sin )
−
(− sin  − cos ) + (cos  − sin )(−
−
)=
⇒
(− sin  − cos  − cos  + sin ) = − (−2 cos ).
So  00 = 0 ⇒ cos  = 0 ⇒  = 2 + . At these values of ,  has points of inflection and since


sin 2 +  = ±1, we get  = ±− , so  intersects the other curves at its inflection points.
Let () = − and () = −− , so that  0 () = −− and 0 () = − . Now

 






 0 2 +  = −(2+) cos 2 +  − sin 2 +  = −−(2+) sin 2 +  . If  is odd, then








 0 2 +  = −(2+) = 0 2 +  . If  is even, then  0 2 +  = −−(2+) = 0 2 +  .
Thus, at  =

2
+ ,  has the same slope as either  or  and hence,  and  touch  at its inflection points.
⇒  0 =  cos  + sin  ⇒  00 = − sin  + 2 cos .  00 = 0 ⇒ 2 cos  =  sin  [which is ] ⇒
87.  =  sin 
(2 cos )2 = ( sin )2
2
2
2
cos (4 +  ) = 
⇒ 4 cos2  = 2 sin2  ⇒ 4 cos2  = 2 (1 − cos2 ) ⇒ 4 cos2  + 2 cos2  = 2
2
2
2
⇒ 4 cos ( + 4) = 4
⇒
⇒  ( + 4) = 4 since  = 2 cos  when  = 0.
2
2
00
2
88. (a) We will make use of the converse of the Concavity Test (along with the stated assumptions); that is, if  is concave upward
on , then  00  0 on . If  and  are CU on , then  00  0 and  00  0 on , so ( + )00 =  00 +  00  0 on 
⇒
 +  is CU on .
(b) Since  is positive and CU on ,   0 and  00  0 on . So  () = [ ()]2
⇒  0 = 2  0
⇒
0 2
 00 = 2 0  0 + 2  00 = 2 ( ) + 2  00  0 ⇒  is CU on .
89. (a) Since  and  are positive, increasing, and CU on  with  00 and  00 never equal to 0, we have   0,  0 ≥ 0,  00  0,
  0, 0 ≥ 0,  00  0 on . Then ( )0 =  0  +   0
⇒ ()00 =  00  + 2 0  0 +   00 ≥  00  +  00  0 on 
⇒
  is CU on .
(b) In part (a), if  and  are both decreasing instead of increasing, then  0 ≤ 0 and  0 ≤ 0 on , so we still have 2 0  0 ≥ 0
on . Thus, ( )00 =  00  + 2 0 0 +  00 ≥  00  +   00  0 on 
⇒   is CU on  as in part (a).
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°
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WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
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369
(c) Suppose  is increasing and  is decreasing [with  and  positive and CU]. Then  0 ≥ 0 and 0 ≤ 0 on , so 2 0 0 ≤ 0
on  and the argument in parts (a) and (b) fails.
Example 1.
 = (0 ∞),  () = 3 , () = 1. Then ( )() = 2 , so ( )0 () = 2 and
Example 2.
()00 () = 2  0 on . Thus,   is CU on .
√
√
√
 = (0 ∞),  () = 4 , () = 1. Then ( )() = 4 , so ()0 () = 2  and
√
()00 () = −1 3  0 on . Thus,   is CD on .
Example 3.
 = (0 ∞),  () = 2 , () = 1. Thus, ( )() = , so   is linear on .
90. Since  and  are CU on (−∞ ∞),  00  0 and  00  0 on (−∞ ∞).
() =  (()) ⇒
0 () =  0 (()) 0 () ⇒ 00 () =  00 (())  0 () 0 () +  0 (())  00 () =  00 (())[0 ()]2 +  0 (()) 00 ()  0
if  0  0. So  is CU if  is increasing.
91. Let the cubic function be () = 3 + 2 +  + 
⇒  0 () = 32 + 2 +  ⇒  00 () = 6 + 2.
So  is CU when 6 + 2  0 ⇔   −(3), CD when   −(3), and so the only point of inflection occurs
when  = −(3). If the graph has three ­intercepts 1 , 2 and 3 , then the expression for  () must factor as
 () = ( − 1 )( − 2 )( − 3 ). Multiplying these factors together gives us
 () = [3 − (1 + 2 + 3 )2 + (1 2 + 1 3 + 2 3 ) − 1 2 3 ]
Equating the coefficients of the 2 ­terms for the two forms of  gives us  = −(1 + 2 + 3 ). Hence, the ­coordinate of
the point of inflection is −
92.  () = 4 + 3 + 2
−(1 + 2 + 3 )
1 + 2 + 3

=−
=
.
3
3
3
⇒  0 () = 43 + 32 + 2 ⇒  00 () = 122 + 6 + 2. The graph of  00 () is a
parabola. If  00 () has two solutions, then it changes sign twice and so has two inflection points. This happens when the
discriminant of  00 () is positive, that is, (6)2 − 4 · 12 · 2  0 ⇔ 362 − 96  0 ⇔ || 
√
2
√
6
3
≈ 163 If
362 − 96 = 0 ⇔  = ± 2 3 6 ,  00 () is 0 at one point, but there is still no inflection point since  00 () never changes
sign, and if 362 − 96  0 ⇔ || 
=6
=
√
2 6
3
2
√
3
6
, then  00 () never changes sign, and so there is no inflection point.
=3
 = 18
=0
 = −2
For large positive , the graph of  has two inflection points and a large dip to the left of the ­axis. As  decreases, the graph
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°
370
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CHAPTER 4
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of  becomes flatter for   0, and eventually the dip rises above the ­axis, and then disappears entirely, along with the
inflection points. As  continues to decrease, the dip and the inflection points reappear, to the right of the origin.
93. By hypothesis  =  0 is differentiable on an open interval containing . Since (  ()) is a point of inflection, the concavity
changes at  = , so  00 () changes signs at  = . Hence, by the First Derivative Test,  0 has a local extremum at  = .
Thus, by Fermat’s Theorem  00 () = 0.
94.  () = 4
⇒  0 () = 43
⇒  00 () = 122
⇒  00 (0) = 0. For   0,  00 ()  0, so  is CU on (−∞ 0);
for   0,  00 ()  0, so  is also CU on (0 ∞). Since  does not change concavity at 0, (0 0) is not an inflection point.
95. Using the fact that || =
√
√
2 , we have that () =  || =  2
⇒ 0 () =
√
√
√
2 + 2 = 2 2 = 2 || ⇒
 −12
2
 00 () = 2 2
 0 for   0 and 00 ()  0 for   0, so (0 0) is an inflection point. But  00 (0) does not
=
||
exist.
96. There must exist some interval containing  on which  000 is positive, since  000 () is positive and  000 is continuous. On this
interval,  00 is increasing (since  000 is positive), so  00 = ( 0 )0 changes from negative to positive at . So by the First
Derivative Test,  0 has a local minimum at  =  and thus cannot change sign there, so  has no maximum or minimum at .
But since  00 changes from negative to positive at ,  has a point of inflection at  (it changes from concave down to
concave up).
97. Suppose that  is differentiable on an interval  and  0 ()  0 for all  in  except  = . To show that  is increasing on ,
let 1 , 2 be two numbers in  with 1  2 .
Case 1 1  2  . Let  be the interval { ∈  |   }. By applying the Increasing/Decreasing Test to 
on , we see that  is increasing on , so  (1 )   (2 ).
Case 2   1  2 . Apply the Increasing/Decreasing Test to  on  = { ∈  |   }.
Case 3 1  2 = . Apply the proof of the Increasing/Decreasing Test, using the Mean Value Theorem (MVT)
on the interval [1  2 ] and noting that the MVT does not require  to be differentiable at the endpoints
of [1  2 ].
Case 4  = 1  2 . Same proof as in Case 3.
Case 5 1    2 . By Cases 3 and 4,  is increasing on [1  ] and on [ 2 ], so  (1 )   ()  (2 ).
In all cases, we have shown that  (1 )  (2 ). Since 1 , 2 were any numbers in  with 1  2 , we have shown that  is
increasing on .
98.  () =  +
1
2 + 3
⇒  0 () =  −
2
2
.  0 ()  0 ⇔   2
(2 + 3)2
( + 3)2
[call this ()]. Now  0 is positive
(and hence  increasing) if   , so we’ll find the maximum value of .
 0 () =
(2 + 3)2 · 2 − 2 · 2(2 + 3) · 2
2(2 + 3)[(2 + 3) − 42 ]
2(3 − 32 )
6(1 + )(1 − )
=
=
=
.
2
2
2
2
4
[( + 3) ]
( + 3)
(2 + 3)3
(2 + 3)3
 0 () = 0 ⇔  = ±1. 0 ()  0 on (0 1) and  0 ()  0 on (1 ∞), so  is increasing on (0 1) and decreasing on
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°
SECTION 4.3
WHAT DERIVATIVES TELL US ABOUT THE SHAPE OF A GRAPH
(1 ∞), and hence  has a maximum value on (0 ∞) of (1) =
2
16
¤
371
= 18 . Also since () ≤ 0 if  ≤ 0, the maximum value
of  on (−∞ ∞) is 18 . Thus, when   18 ,  is increasing. When  = 18 ,  0 ()  0 on (−∞ 1) and (1 ∞), and hence  is
increasing on these intervals. Since  is continuous, we may conclude that  is also increasing on (−∞ ∞) if  = 18 .
Therefore,  is increasing on (−∞ ∞) if  ≥ 18 .
99. (a)  () = 4 sin
1

⇒  0 () = 4 cos
1



1
1
1
1
− 2 + sin (43 ) = 43 sin − 2 cos .






1
() = 4 2 + sin
= 24 + () ⇒  0 () = 83 +  0 ().



1
= −24 +  () ⇒ 0 () = −83 +  0 ().
() = 4 −2 + sin

1
4 sin − 0
1
 () −  (0)

= lim
= lim 3 sin . Since
It is given that  (0) = 0, so  (0) = lim
→0
→0
→0
−0


0
 
 
 
1
− 3  ≤ 3 sin ≤ 3  and lim 3  = 0, we see that  0 (0) = 0 by the Squeeze Theorem. Also,
→0

 0 (0) = 8(0)3 +  0 (0) = 0 and 0 (0) = −8(0)3 +  0 (0) = 0, so 0 is a critical number of  , , and .
For 2 =
1
1
1
[ a nonzero integer], sin
= sin 2 = 0 and cos
= cos 2 = 1, so  0 (2 ) = −22  0.
2
2
2
For 2+1 =
1
1
1
, sin
= sin(2 + 1) = 0 and cos
= cos(2 + 1) = −1, so
(2 + 1)
2+1
2+1
 0 (2+1 ) = 22+1  0. Thus,  0 changes sign infinitely often on both sides of 0.
Next,  0 (2 ) = 832 +  0 (2 ) = 832 − 22 = 22 (82 − 1)  0 for 2  18 , but
 0 (2+1 ) = 832+1 + 22+1 = 22+1 (82+1 + 1)  0 for 2+1  − 18 , so  0 changes sign infinitely often on both
sides of 0.
Last, 0 (2 ) = −832 +  0 (2 ) = −832 − 22 = −22 (82 + 1)  0 for 2  − 18 and
0 (2+1 ) = −832+1 + 22+1 = 22+1 (−82+1 + 1)  0 for 2+1  18 , so 0 changes sign infinitely often on both
sides of 0.
(b)  (0) = 0 and since sin
1
1
and hence 4 sin is both positive and negative inifinitely often on both sides of 0, and


arbitrarily close to 0,  has neither a local maximum nor a local minimum at 0.


1
1
 0 for  6= 0, so (0) = 0 is a local minimum.
Since 2 + sin ≥ 1, () = 4 2 + sin




1
1
Since −2 + sin ≤ −1, () = 4 −2 + sin
 0 for  6= 0, so (0) = 0 is a local maximum.


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4.4 Indeterminate Forms and l'Hospital's Rule
H
Note: The use of l’Hospital’s Rule is indicated by an H above the equal sign: =
1. (a) lim
→
0
 ()
is an indeterminate form of type .
()
0
(b) lim
 ()
= 0 because the numerator approaches 0 while the denominator becomes large.
()
(c) lim
()
= 0 because the numerator approaches a finite number while the denominator becomes large.
()
→
→
(d) If lim () = ∞ and  () → 0 through positive values, then lim
→
→
and () = 2 .] If  () → 0 through negative values, then lim
→
()
= ∞. [For example, take  = 0, () = 12 ,
 ()
()
= −∞. [For example, take  = 0, () = 12 ,
()
and  () = −2 .] If  () → 0 through both positive and negative values, then the limit might not exist. [For example,
take  = 0, () = 12 , and  () = .]
(e) lim
→
∞
()
is an indeterminate form of type
.
()
∞
2. (a) lim [ ()()] is an indeterminate form of type 0 · ∞.
→
(b) When  is near , () is large and () is near 1, so ()() is large. Thus, lim [()()] = ∞.
→
(c) When  is near , () and () are both large, so ()() is large. Thus, lim [()()] = ∞.
→
3. (a) When  is near , () is near 0 and () is large, so  () − () is large negative. Thus, lim [ () − ()] = −∞.
→
(b) lim [ () − ()] is an indeterminate form of type ∞ − ∞.
→
(c) When  is near , () and () are both large, so () + () is large. Thus, lim [ () + ()] = ∞.
→
4. (a) lim [ ()]() is an indeterminate form of type 00 .
→
(b) If  = [ ()]() , then ln  = () ln  (). When  is near , () → ∞ and ln  () → −∞, so ln  → −∞.
Therefore, lim [ ()]() = lim  = lim ln  = 0, provided   is defined.
→
→
→
(c) lim [()]() is an indeterminate form of type 1∞ .
→
(d) lim [ ()] () is an indeterminate form of type ∞0 .
→
(e) If  = [ ()]() , then ln  = () ln (). When  is near , () → ∞ and ln () → ∞, so ln  → ∞. Therefore,
lim [ ()]() = lim  = lim ln  = ∞.
→
(f ) lim
→
→
→

() = lim [ ()]1() is an indeterminate form of type ∞0 .
()
→
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.4
INDETERMINATE FORMS AND L’HOSPITAL’S RULE
¤
373
5. From the graphs of  and , we see that lim  () = 0 and lim () = 0, so l’Hospital’s Rule applies.
→2
→2
0
lim
→2
lim  ()
 0 (2)
 ()
 0 ()
18
9
→2
= lim 0
=
=
= 4 =
→2  ()
()
lim  0 ()
0 (2)
4
5
→2
6. From the graphs of  and , we see that lim  () = 0 and lim () = 0, so l’Hospital’s Rule applies.
→2
→2
0
lim
→2
lim  ()
 0 (2)
 ()
 0 ()
15
3
→2
= lim 0
=
= 0
=
=−
→2  ()
()
lim  0 ()
 (2)
−1
2
→2
7.  and  =  − 1 are differentiable and 0 =  6= 0 on an open interval that contains 0.
so we have the indeterminate form
0
0
lim  () = 0 and lim () = 0,
→0
→0
and can apply l’Hospital’s Rule.
lim
→0
1
 () H
 0 ()
=
lim
= =1
 − 1 →0 
1
Note that lim  0 () = 1 since the graph of  has the same slope as the line  =  at  = 0.
→0
8. This limit has the form 00 .
1
1
−3
−3
1
= lim
= lim
=
=
2 − 9 →3 ( + 3)( − 3) →3  + 3
3+3
6
lim
→3
Note: Alternatively, we could apply l’Hospital’s Rule.
9. This limit has the form 00 .
2 − 2 − 8
( − 4)( + 2)
= lim
= lim ( + 2) = 4 + 2 = 6
→4
→4
−4
−4
lim
→4
Note: Alternatively, we could apply l’Hospital’s Rule.
10. This limit has the form 00 .
3 + 8 H
32
= 3(−2)2 = 12
= lim
→−2  + 2
→−2 1
lim
Note: Alternatively, we could factor and simplify.
11. This limit has the form 00 .
lim
→1
7
7 − 1 H
76
= lim
=
3
→1
 −1
32
3
Note: Alternatively, we could factor and simplify.
12. This limit has the form
0
0.
√
√
√
−2
−2
+2
−4
1
1
1
√
 = lim √
= lim
·√
lim
=
= lim
= √
→4  − 4
→4  − 4
→4
→4
4
4+2
+2
+2
( − 4)  + 2
Note: Alternatively, we could apply l’Hospital’s Rule.
√
√
2
2
√
+
sin  − cos  H
cos  + sin 
2
0
2
2
=
lim
13. This limit has the form 0 .
lim
= lim
=
√

2
→4
→4 tan  − 1
→4
sec2 
2
2
14. This limit has the form 00 .
lim
→0
3(1)2
3
tan 3 H
3 sec2 3
=
=
= lim
→0 2 cos 2
sin 2
2(1)
2
15. This limit has the form 00 .
lim
2(1)
2 − 1 H
22
=
=2
= lim
→0 cos 
sin 
1
→0
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
374
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
lim
2
2
2
2
H
= lim
= =2
= lim
1 − cos  →0 sin  →0 (sin )
1
lim
cos 0
1
sin( − 1) H
cos( − 1)
=
=
= lim
3 +  − 2 →1 32 + 1
3(1)2 + 1
4
16. This limit has the form 00 .
→0
17. This limit has the form 00 .
→1
18. The limit can be evaluated by substituting  for .
lim
→
1 + (−1)
0
1 + cos 
=
= =0
1 − cos 
1 − (−1)
2
1
√
√
 H
1
2
 = lim
√ =0
lim
= lim
→∞ 1 + 
→∞ 
→∞  · 2 
19. This limit has the form
∞
.
∞
20. This limit has the form
∞
. lim
∞ →∞
1
 + 2 H
1 + 2 H
2
=− .
= lim
= lim
→∞ −4
→∞ −4
1 − 22
2
1
+1
1
0+1
 + 2

=− .
=
lim
=
2
→∞ 1 − 2
→∞ 1
0−2
2
−2
2
A better method is to divide the numerator and the denominator by 2 : lim
21. lim [(ln )] = −∞ since ln  → −∞ as  → 0+ and dividing by small values of  just increases the magnitude of the
→0+
quotient (ln ). L’Hospital’s Rule does not apply.
22. This limit has the form
∞
.
∞
23. This limit has the form
0
.
0
24. This limit has the form 00 .
1
√
1
ln  H
ln 
1
2
2
= lim
lim
= lim
= lim =
=0
→∞
→∞
→∞
→∞ 42
2
2
2


ln(3) H
1(3) · (13)
1
1
= lim −
=−
lim
= lim
→3 3 − 
→3
→3
−1

3
lim
→0
8
8 − 5 H
8 ln 8 − 5 ln 5
= ln 8 − ln 5 = ln
= lim
→0

1
5
25. This limit has the form 00 .
lim
→0
26. This limit has the form
√
√
1
(1 + 2)−12 · 2 − 12 (1 − 4)−12 (−4)
1 + 2 − 1 − 4 H
= lim 2
→0

1


2
1
1
2
+√
= √ +√ =3
= lim √
→0
1 + 2
1 − 4
1
1
∞
∞.
10

·
10 H
= lim
→∞ 3
→∞
32
lim
1
10
H
=
1
lim
30 →∞
10 ·
2
1
10
H
=
1
lim
600 →∞
10 ·
1
1
10
=
1
lim 10
6000 →∞
=∞
lim
1+1
 + − − 2 H
 − − H
 + −
=2
= lim 
= lim
=

→0  − 1
→0
 −−1

1
lim
1
sinh  −  H
cosh  − 1 H
sinh  H
cosh 
=
= lim
= lim
= lim
→0
→0
→0
3
32
6
6
6
27. This limit has the form 00 .
→0
28. This limit has the form 00 .
→0
29. This limit has the form 00 . lim
→0
sech2 0
1
tanh  H
sech 2 
=
= =1
= lim
2
→0
tan 
sec 
sec2 0
1
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.4
INDETERMINATE FORMS AND L’HOSPITAL’S RULE
30. This limit has the form 00 .
lim
→0
−(− sin )
1
 − sin  H
1 − cos  H
= − lim
= lim
= lim
 − tan  →0 1 − sec2  →0 −2 sec  (sec  tan )
2 →0
sin 
 cos  
sin 
sec2 
= − 12 lim cos3  = − 12 (1)3 = − 12
→0
sin 
 .
Another method is to write the limit as lim
tan 
→0
1−

1−
31. This limit has the form 00 .
32. This limit has the form
lim
→0
→0
√
1
sin−1  H
1 1 − 2
1
= lim √
= lim
= =1
→0
→0

1
1
1 − 2
(ln )2 H
2(ln )(1)
ln  H
1
= 2 lim
= 2(0) = 0
= lim
= 2 lim
→∞
→∞
→∞ 
→∞ 1

1
∞
.
∞
33. This limit has the form 00 .
34. This limit has the form
lim
lim
lim
→0
1
3 H
3 ln 3 + 3
3 ( ln 3 + 1)
 ln 3 + 1
= lim
= lim
=
= lim
→0
→0
3 − 1 →0
3 ln 3
3 ln 3
ln 3
ln 3
0
.
0
1+1+2
4
 + − − 2 cos  H
 − − + 2 sin  H
 + − + 2 cos 
=
= =2
= lim
= lim
→0
→0 − sin  + cos  + cos 
 sin 
 cos  + sin 
0+1+1
2
35. This limit can be evaluated by substituting 0 for .
36. This limit has the form 00 .
37. This limit has the form
so lim
→0+
0
,
∞
lim
→1
lim
→0
ln 1
0
ln(1 + )
=
= =0
cos  +  − 1
1+1−1
1
cos 0
1
 sin( − 1) H
 cos( − 1) + sin( − 1)
=
=
= lim
22 −  − 1 →1
4 − 1
4−1
3
so l’Hospital’s Rule doesn’t apply. As  → 0+ , arctan 2 → 0 and ln  → −∞,
arctan 2
= 0.
ln 
38. This limit has the form 00 .
2 sin  H
2 cos  + 2 sin  H
−2 sin  + 2 cos  + 2 cos  + 2 sin 
= lim
= lim
→0 sin  − 
→0
→0
cos  − 1
− sin 
lim
(2 − 2 ) sin  + 4 cos 
→0
− sin 
= lim
H
= lim
→0
 − 1
 − 1
39. This limit has the form 00 .
→1
40. This limit has the form 00 .
→∞
lim
lim
2(1) − 0 − 0 + 4(1)
(2 − 2 ) cos  − 2 sin  − 4 sin  + 4 cos 
=
= −6
− cos 
−1
H
[for  6= 0] = lim
→1
−
H
= lim
(2) − tan−1  →∞

(1)
−1
=
=
−1
(1)

−−
1 + 2 H
2 H
2
= lim
= lim  = lim  = 0
1
→∞
→∞ 
→∞ 

−
1 + 2
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°
¤
375
376
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
41. This limit has the form 00 .
lim
→0
cos  − 1 + 12 2 H
1
− sin  +  H
− cos  + 1 H
sin  H
cos 
=
= lim
= lim
= lim
= lim
→0
→0
→0 24
→0 24
4
43
122
24
42. This limit has the form 00 .
lim
→0
 − sin  H
1 − cos 
1 − cos 
= lim
= lim
 sin(2 ) →0  cos(2 ) · 2 + sin(2 ) →0 22 cos(2 ) + sin(2 )
H
= lim
→0
H
= lim
→0
sin 
sin 
= lim
22 [− sin(2 ) · 2] + cos(2 ) · 4 + cos(2 ) · 2 →0 6 cos(2 ) − 43 sin(2 )
1
1
cos 
=
=
6 [− sin(2 ) · 2] + cos(2 ) · 6 − 43 cos(2 ) · 2 − sin(2 ) · 122
0+1·6−0−0
6
43. This limit has the form ∞ · 0. We’ll change it to the form 00 .
lim  sin() = lim
→∞
→∞
sin() H
cos()(−2 )
= lim
=  lim cos() = (1) = 
→∞
→∞
1
−12
44. This limit has the form ∞ · 0. We’ll change it to the form
∞
.
∞
√
1 −12

 H
1
= lim 21 2 = lim √ 2 = 0
2
→∞ 
→∞
→∞



2
√
lim  −2 = lim
→∞
45. This limit has the form 0 · ∞. We’ll change it to the form 00 .
lim sin 5 csc 3 = lim
→0
→0
5·1
5
sin 5 H
5 cos 5
=
=
= lim
sin 3 →0 3 cos 3
3·1
3
46. This limit has the form (−∞) · 0.


1
1
1


ln 1 −
·
 H
−1
1
1 − 1 2
−1
= −1
=
= lim
= lim
lim  ln 1 −
= lim
1
1
1
→−∞
→−∞
→−∞
→−∞

1
− 2
1−



2
3 H
32
3 H
3
=
lim
2
2 = lim
2 = lim
2 = 0
→∞ 
→∞ 2
→∞ 2
→∞ 4
47. This limit has the form ∞ · 0. lim 3 − = lim
→∞
48. This limit has the form ∞ · 0.
lim 32 sin(1) = lim 12 ·
→∞
and
→∞
sin(1)
1 sin 
= lim √
1
→0+
 
1
[where  = 1] = ∞ since as  → 0+ , √ → ∞

sin 
→ 1.

49. This limit has the form 0 · (−∞).
lim ln  tan(2) = lim
→1+
→1+
50. This limit has the form 0 · ∞.
1
2
ln 
1
H
=
= lim
=−
cot(2) →1+ (−2) csc2 (2)
(−2)(1)2

lim
→(2)−
cos  sec 5 =
lim
→(2)−
−1
1
cos  H
− sin 
=
=
=
lim
cos 5 →(2)− −5 sin 5
−5
5
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.4
INDETERMINATE FORMS AND L’HOSPITAL’S RULE
¤
51. This limit has the form ∞ − ∞.
lim

→1
1

−
−1
ln 

= lim
→1
 ln  − ( − 1) H
(1) + ln  − 1
ln 
= lim
= lim
→1 ( − 1)(1) + ln 
→1 1 − (1) + ln 
( − 1) ln 
2
1
1
1

· 2 = lim
=
=
→1 1 + 
+ 1 
1+1
2
H
= lim
→1 12

cos 
1
−
52. This limit has the form ∞ − ∞. lim (csc  − cot ) = lim
→0
→0 sin 
sin 

= lim
→0
1 − cos  H
sin 
=0
= lim
→0 cos 
sin 
53. This limit has the form ∞ − ∞.
lim
→0+

1
1
− 

 −1

= lim
→0+
1
1
 − 1 −  H
 − 1

H
=
= lim
= lim
=




+
+
( − 1)
0+1+1
2
→0  +  − 1
→0  +  + 
54. This limit has the form ∞ − ∞.

lim
→0+
1
1
−

tan−1 

= lim
tan−1  −  H
1(1 + 2 ) − 1
1 − (1 + 2 )
=
lim
=
lim
−1
 tan−1 
 →0+  + (1 + 2 ) tan−1 
→0+ (1 + 2 ) + tan
= lim
−2
−2
H
= lim
 + (1 + 2 ) tan−1  →0+ 1 + (1 + 2 )(1(1 + 2 )) + (tan−1 )(2)
= lim
0
−2
=
=0
2 + 2 tan−1 
2+0
→0+
→0+
→0+
55. This limit has the form ∞ − ∞.

lim
→0+
1
1
−

tan 

= lim
→0+
=
tan  −  H
sec2  − 1
2 sec  · sec  tan 
H
= lim
= lim
 tan 
→0+  sec2  + tan 
→0+  · 2 sec  · sec  tan  + sec2  + sec2 
0
=0
0+1+1
56. The limit has the form ∞ − ∞ and we will change the form to a product by factoring out .


ln 
ln  H
1
lim ( − ln ) = lim  1 −
= 0.
= lim
= ∞ since lim
→∞
→∞
→∞ 
→∞ 1

√
57.  = 

⇒ ln  =
√
 ln  = lim
lim ln  = lim
→0+
→0+
√

lim 
→0+
√
 ln , so
→0+
√
ln  H
1
= lim
=0 ⇒
1 −32 = −2 lim+
+
−12
→0 − 
→0
2
= lim ln  = 0 = 1.
→0+
58.  = (tan 2)
⇒ ln  =  · ln tan 2, so
lim ln  = lim  · ln tan 2 = lim
→0+
→0+
= lim
→0+
→0+
ln tan 2 H
(1 tan 2)(2 sec2 2)
−22 cos 2
= lim
= lim
2
2
+
+
1
−1
→0
→0 sin 2 cos 2
2
−
· lim
=1·0=0
sin 2 →0+ cos 2
⇒
lim (tan 2) = lim ln  = 0 = 1.
→0+
→0+
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
377
378
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
59.  = (1 − 2)1
⇒ ln  =
1
ln(1 − 2) H
−2(1 − 2)
ln(1 − 2), so lim ln  = lim
= −2 ⇒
= lim
→0
→0
→0


1
lim (1 − 2)1 = lim ln  = −2 .
→0
→0


, so
⇒ ln  =  ln 1 +




1
− 2

1 + 

 ln(1 + ) H

lim ln  = lim
=  ⇒
= lim
= lim
→∞
→∞
→∞
→∞ 1 + 
1
−12
60.  =

 
1+


 
= lim ln  =  .
lim 1 +
→∞
→∞

61.  = 1(1−)
⇒ ln  =
1
1
ln  H
1
ln , so lim ln  = lim
ln  = lim
= −1 ⇒
= lim
1−
→1+
→1+ 1 − 
→1+ 1 − 
→1+ −1
lim 1(1−) = lim ln  = −1 =
→1+
→1+
62.  = ( + 10)1
⇒ ln  =
1
.

1
ln( + 10), so

1
· ( + 10)
 + 10
1
ln( + 10) H


lim ln  = lim ln( + 10) = lim
= lim
→∞
→∞ 
→∞
→∞

1
 + 10 H


H
=
lim
=
lim
= lim (1) = 1
→∞  + 10
→∞  + 10
→∞ 
→∞
= lim
⇒
lim ( + 10)1 = lim ln  = 1 = 
→∞
→∞
63.  = 1
⇒ ln  = (1) ln  ⇒
lim ln  = lim
→∞
→∞
ln  H
1
=0 ⇒
= lim
→∞ 1

lim 1 = lim ln  = 0 = 1
→∞
64.  = 
→∞
−
−
lim 
→∞
⇒ ln  = − ln  ⇒
lim ln  = lim
→∞
→∞
ln  H
1
1
= lim  = lim
=0 ⇒
→∞ 
→∞ 

= lim ln  = 0 = 1
→∞
cot 
65.  = (4 + 1)
4
ln(4 + 1) H
4
+1 = 4 ⇒
⇒ ln  = cot  ln(4 + 1), so lim ln  = lim
= lim
2
tan 
→0+
→0+
→0+ sec 
lim (4 + 1)cot  = lim ln  = 4 .
→0+
→0+
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.4
66.  = (1 − cos )sin 
INDETERMINATE FORMS AND L’HOSPITAL’S RULE
¤
⇒ ln  = sin  ln(1 − cos ), so
1
· sin 
ln(1 − cos ) H
1
−
cos 
= lim
lim ln  = lim sin  ln(1 − cos ) = lim
csc 
− csc  cot 
→0+
→0+
→0+
→0+
 2 
sin 
sin 
sin 
= − lim
·
= − lim
2
sin2 
→0+ (1 − cos ) csc  cot 
→0+ csc  cot  − cot 
= − lim
→0+
H
= − lim
→0+
sin3 
sin3 
=
−
lim
cos  − cos2 
→0+ (1 − cos ) cos 
0
3 sin2  cos 
3 sin  cos 
= − lim
=−
=0
(1 − cos )(− sin ) + cos  (sin )
0+1
→0+ (cos  − 1) + cos 
⇒
lim (1 − cos )sin  = lim ln  = 0 = 1
→0+
→0+
67.  = (1 + sin 3)1
lim ln  = lim
→0+
→0+
⇒ ln  =
1
ln(1 + sin 3) ⇒

3·1
ln(1 + sin 3) H
[1(1 + sin 3)] · 3 cos 3
3 cos 3
= lim
=
=3 ⇒
= lim

1
1+0
→0+
→0+ 1 + sin 3
lim (1 + sin 3)1 = lim ln  = 3
→0+
→0+
68.  = (cos )1
2
⇒ ln  =
1
ln cos , so
2
1
· (− sin )
1
1
ln cos  H
− tan  H
− sec2 
cos

= lim
=−
= lim
= lim
lim ln  = lim 2 ln cos  = lim
2
→0
→0 
→0
→0
→0
→0

2
2
2
2
⇒
2
1
lim (cos )1 = lim ln  = −12 = √
→0

→0
69. The given limit is lim
→0+
 − 1
. Note that  = 
ln  +  − 1
⇒ ln  =  ln , so
1
ln  H

lim ln  = lim  ln  = lim
= lim
= lim (−) = 0 ⇒
1
→0+
→0+
→0+ 1
→0+
→0+
− 2


lim  = lim ln  = 0 = 1.
→0+
→0+
Therefore, the numerator of the given limit has limit 1 − 1 = 0 as  → 0+ . The denominator of the given limit → −∞ as
 → 0+ since ln  → −∞ as  → 0+ . Thus, lim
→0+
70.  =

2 − 3
2 + 5
2+1
⇒
 − 1
= 0.
ln  +  − 1


2 − 3
ln  = (2 + 1) ln
⇒
2 + 5
ln(2 − 3) − ln(2 + 5) H
2(2 − 3) − 2(2 + 5)
−8(2 + 1)2
= lim
= lim
2
→∞
→∞
→∞ (2 − 3)(2 + 5)
1(2 + 1)
−2(2 + 1)

2+1
2
−8(2 + 1)
2 − 3
= lim
= −8 ⇒ lim
= lim ln  = −8
→∞ (2 − 3)(2 + 5)
→∞
→∞
2 + 5
lim ln  = lim
→∞
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
379
380
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
From the graph, if  = 500,  ≈ 736. The limit has the form 1∞ .




2
2
Now  = 1 +
⇒
⇒ ln  =  ln 1 +




2
1
− 2
1 + 2

ln(1 + 2) H
= lim
lim ln  = lim
→∞
→∞
→∞
1
−12
71.
= 2 lim
→∞
1
= 2(1) = 2
1 + 2
⇒


2
1+
= lim ln  = 2 [≈ 739]
→∞
→∞

lim
From the graph, as  → 0,  ≈ 055. The limit has the form 00 .
72.
lim
→0
ln 54
ln 5 − ln 4
5 − 4 H
5 ln 5 − 4 ln 4
=
=
= lim 
[≈ 055]



→0 3 ln 3 − 2 ln 2
3 −2
ln 3 − ln 2
ln 32
 ()
 0 ()
= lim 0
= 025
→0 ()
→0  ()
From the graph, it appears that lim
73.
We calculate lim
→0
1
 ()
 − 1 H

= lim 3
= .
= lim
2
→0  + 4
→0 3 + 4
()
4
 ()
 0 ()
= lim 0
= 4. We calculate
→0 ()
→0  ()
From the graph, it appears that lim
74.
lim
→0
 ()
2 sin  H
2( cos  + sin )
= lim
= lim
() →0 sec  − 1 →0
sec  tan 
H
= lim
→0
4
2(− sin  + cos  + cos )
= =4
sec (sec2 ) + tan (sec  tan )
1
 H



H
H
H
=∞
=
lim
=
lim
=
·
·
·
=
lim
→∞ 
→∞ −1
→∞ ( − 1)−2
→∞ !
75. lim
76. This limit has the form
ln  H
1
1
= lim
= lim
= 0 since   0.
→∞ −1
→∞ 


1
H
= lim
= lim
→∞
2 + 1 →∞ 12 (2 + 1)−12 (2)
77. lim √
→∞
∞
lim
∞ . →∞
√
2 + 1
. Repeated applications of l’Hospital’s Rule result in the

original limit or the limit of the reciprocal of the function. Another method is to try dividing the numerator and denominator
1


1
= lim 
by : lim √
= lim 
= =1
2
2
2
2
2
→∞
→∞
→∞
1
 +1
  + 1
1 + 1
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.4
78.
lim
→(2)−
¤
INDETERMINATE FORMS AND L’HOSPITAL’S RULE
381
sec  H
sec  tan 
tan 
=
lim
. Repeated applications of l’Hospital’s Rule result in the
=
lim
tan  →(2)− sec2 
→(2)− sec 
original limit or the limit of the reciprocal of the function. Another method is to simplify first:
lim
→(2)−
1
sec 
1cos 
1
=
lim
=
lim
= =1
tan  →(2)− sin cos  →(2)− sin 
1
⇒  0 () =  −  = 0 ⇔  =  ⇔  = ln ,   0.  00 () =   0, so  is CU on
  

 H


(−∞ ∞). lim ( − ) = lim 
−
= 1 . Now lim
= ∞, so 1 = ∞, regardless
= lim
→∞
→∞
→∞ 
→∞ 1

79.  () =  − 
of the value of . For  = lim ( − ),  → 0, so  is determined
→−∞
by −. If   0, − → ∞, and  = ∞. If   0, − → −∞, and
 = −∞. Thus,  has an absolute minimum for   0. As  increases, the
minimum points (ln   −  ln ), get farther away from the origin.
80. (a) lim  = lim
→∞
→∞
=
 

 
 
1 − − =
lim 1 − − =
(1 − 0)
→∞




, which is the speed the object approaches as time goes on, the so­called limiting velocity.

(b) lim  = lim
→0+
[because − → −∞ as  → ∞]
→0+

1 − −
(1 − − ) =  lim


→0+
H
=  lim
→0+
[form is 00 ]

(−− ) · (−)
=
lim − = (1) = 
1
 →0+
The velocity of a falling object in a vacuum is directly proportional to the amount of time it falls.



 
 

1+
, so
, which is of the form 1∞ .  = 1 +
⇒ ln  =  ln 1 +






−2
ln(1 + ) H


lim ln  = lim  ln 1 +
=  lim
=  lim
= 
=  lim
→∞
→∞
→∞
→∞ (1 + )(−12 )
→∞ 1 + 

1
81. First we will find lim
→∞
⇒

 
→ 0  .
lim  =  . Thus, as  → ∞,  = 0 1 +
→∞

2
82. (a)  = 3,  = 005
⇒  =
(b)  = 2,  = 005 ⇒  =
1 − 10−045
1 − 10−
=
≈ 062, or about 62%.
2
 ln 10
045 ln 10
1 − 10−02
≈ 080, or about 80%.
02 ln 10
Yes, it makes sense. Since measured brightness decreases with light entering farther from the center of the pupil, a smaller
pupil radius means that the average brightness measurements are higher than when including light entering at larger radii.
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°
382
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
2
(c) lim  = lim
→0+
→0+
2
1 − 10− H
−10− (ln 10)(−2)
1
= lim
= lim
2 = 1, or 100%.
2
 ln 10
2(ln 10)
→0+
→0+ 10
We might expect that 100% of the brightness is sensed at the very center of the pupil, so a limit of 1 would make sense in
this context if the radius  could approach 0. This result isn’t physically possible because there are limitations on how
small the pupil can shrink.
83. (a) lim  () = lim
→∞
→∞


=
=
1 + −
1+·0
It is to be expected that a population that is growing will eventually reach the maximum population size that can be
supported.
(b) lim  () = lim
 →∞
→∞


1
H


= lim
= lim
= 0 
 − 0 −
 →∞
 →∞ 1 −

−

1+

1+
−1 
0
0
0
0  is an exponential function.
 

    
2

1
1

 2
2
84. (a) lim  = lim −
ln
ln
= − lim
= −2 · 2 · ln 1 = − · 0 = 0
+
+
+





→
→
→
As the insulation of a metal cable becomes thinner, the velocity of an electrical impulse in the cable approaches zero.
    

  

 2

−
= − 2 lim 2 ln
[form is 0 · ∞]
ln


 →0+

→0+

 1
 2
·
ln




H

=0
= − 2 lim
[form is ∞∞] = − 2 lim   = − 2 lim −
1
 →0+
 →0+ −2
 →0+
2
2
3
(b) lim  = lim
→0+
As the radius of the metal cable approaches zero, the velocity of an electrical impulse in the cable approaches zero.
85. We see that both numerator and denominator approach 0, so we can use l’Hospital’s Rule:
 
√
√
1
(23  − 4 )−12 (23 − 43 ) −  13 ()−23 2
23  − 4 −  3  H
2
√
lim
= lim
4
→
→
− 14 (3 )−34 (32 )
 − 3
=
=
3
1
2 (2 
− 4 )−12 (23 − 43 ) − 13 3 (2 )−23
− 14 (3 )−34 (32 )
 
(4 )−12 (−3 ) − 13 3 (3 )−23
− − 13 
=
= 43 43  =
3 3 4 −34
3
− 4  ( )
−4
16
9 
86. Let the radius of the circle be . We see that () is the area of the whole figure (a sector of the circle with radius 1), minus
the area of 4 . But the area of the sector of the circle is 12 2  (see Reference Page 1), and the area of the triangle is
1
 | |
2
= 12 ( sin ) = 12 2 sin . So we have () = 12 2  − 12 2 sin  = 12 2 ( − sin ). Now by elementary
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°
SECTION 4.4
trigonometry, () =
1
2
INDETERMINATE FORMS AND L’HOSPITAL’S RULE
¤
383
|| | | = 12 ( − ||) | | = 12 ( −  cos )( sin ) = 12 2 (1 − cos ) sin .
So the limit we want is
lim
→0+
()
= lim
() →0+
1 2
 ( − sin )
H
2
= lim
1 2
→0+

(1
−
cos
)
sin

2
1 − cos 
(1 − cos ) cos  + sin  (sin )
= lim
1 − cos 
sin 
H
= lim
cos  − cos2  + sin2 
→0+ − sin  − 2 cos  (− sin ) + 2 sin  (cos )
= lim
1
1
sin 
1
= lim
=
=
− sin  + 4 sin  cos 
−1 + 4 cos 0
3
→0+ −1 + 4 cos 
→0+
→0+






1+
1
 − 2 ln
= lim  − 2 ln
+ 1 . Let  = 1, so as  → ∞,  → 0+ .
→∞
→∞


87. The limit,  = lim
 = lim
→0+

1

1−
 − ln( + 1) H
1
1
1
1

+
1 = lim ( + 1) = lim
− 2 ln( + 1) = lim
=
= lim


2
2
2
2
→0+
→0+
→0+
→0+ 2 ( + 1)
Note: Starting the solution by factoring out  or 2 leads to a more complicated solution.
88.  = [ ()]()
⇒ ln  = () ln  (). Since  is a positive function, ln  () is defined. Now
lim ln  = lim () ln () = −∞ since lim () = ∞ and lim  () = 0 ⇒
→
→
→
→
lim ln  () = −∞. Thus, if  = ln ,
→
lim  = lim  = 0. Note that the limit, lim () ln  (), is not of the form ∞ · 0.
→
→−∞
→
89. (a) We look for functions  and  whose individual limits are ∞ as  → 0, but whose quotient has a limit of 7 as  → 0.
One such pair of functions is  () =
7
1
and () = 2 . We have lim  () = lim () = ∞, and
→0
→0
2

 ()
72
= lim
= lim 7 = 7
→0 ()
→0 12
→0
lim
(b) We look for functions  and  whose individual limits are ∞ as  → 0, but whose difference has a limit of 7 as  → 0.
1
1
+ 7 and () = 2 . We have lim  () = lim () = ∞, and
→0
→0
2




1
1
lim [ () − ()] = lim
+ 7 − 2 = lim 7 = 7
→0
→0
→0
2

One such pair of functions is  () =
90.  = lim
→0

sin 2

++ 2
3


= lim
→0
sin 2 + 3 +  H
2 cos 2 + 32 + 
=
lim
. As  → 0, 32 → 0, and
→0
3
32
(2 cos 2 + 32 + ) →  + 2, so the last limit exists only if  + 2 = 0, that is,  = −2. Thus,
lim
→0
6 − 8
2 cos 2 + 32 − 2 H
−4 sin 2 + 6 H
−8 cos 2 + 6
=
, which is equal to 0 if and only
= lim
= lim
→0
→0
32
6
6
6
if  = 43 . Hence,  = 0 if and only if  = −2 and  = 43 .
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°
384
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
91. (a) We show that lim
→0
1
 ()
= 0 for every integer  ≥ 0. Let  = 2 . Then


2
 ()
−1
 H
−1 H
!
H
= lim
= lim
= · · · = lim  = 0 ⇒
 = lim
→0 2
→0 (2 )
→∞ 
→∞
→∞ 

lim
lim
→0
 ()
 ()
 ()
 () −  (0)
 ()
= lim
= 0.
= lim  2 = lim  lim 2 = 0. Thus,  0 (0) = lim
→0
→0
→0 
→0
→0


−0

(b) Using the Chain Rule and the Quotient Rule we see that  () () exists for  6= 0. In fact, we prove by induction that for
each  ≥ 0, there is a polynomial  and a non­negative integer  with  () () =  () () for  6= 0. This is
true for  = 0; suppose it is true for the th derivative. Then  0 () =  ()(23 ), so


 (+1) () =  [0 () () +  ()  0 ()] −   −1  ()  () −2


=  0 () +  ()(23 ) −   −1  ()  ()−2


=  +3 0 () + 2 () −   +2  ()  ()−(2 +3)
which has the desired form.
Now we show by induction that  () (0) = 0 for all . By part (a),  0 (0) = 0. Suppose that  () (0) = 0. Then
 () () −  () (0)
 () ()
 ()  ()
 ()  ()
= lim
= lim
= lim
→0
→0
→0
→0
−0


 +1
 (+1) (0) = lim
= lim  () lim
→0
→0
 ()
=  (0) · 0 = 0
 +1

92. (a) For  to be continuous, we need lim () =  (0) = 1. We note that for  6= 0, ln () = ln || =  ln ||.
→0
So lim ln  () = lim  ln || = lim
→0
→0
→0
ln || H
1
= lim
= 0. Therefore, lim  () = lim ln  () = 0 = 1.
→0 −12
→0
→0
1
So  is continuous at 0.
(b) From the graphs, it appears that  is differentiable at 0.
(c) To find  0 , we use logarithmic differentiation: ln  () =  ln || ⇒
 
1
 0 ()
=
+ ln || ⇒
()

 0 () = ()(1 + ln ||) = || (1 + ln ||),  6= 0. Now  0 () → −∞ as  → 0 [since || → 1 and
(1 + ln ||) → −∞], so the curve has a vertical tangent at (0 1) and is therefore not differentiable there.
The fact cannot be seen in the graphs in part (b) because ln || → −∞ very slowly as  → 0.
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°
SECTION 4.5 SUMMARY OF CURVE SKETCHING
¤
385
4.5 Summary of Curve Sketching
1.  =  () = 3 + 32 = 2 ( + 3)
H.
A.  is a polynomial, so  = .
B. ­intercept =  (0) = 0, ­intercepts are 0 and −3 C. No symmetry
D. No asympote E.  0 () = 32 + 6 = 3( + 2)  0 ⇔   −2 or
  0, so  is increasing on (−∞ −2) and (0 ∞), and decreasing on (−2 0).
F. Local maximum value  (−2) = 4, local minimum value  (0) = 0
G.  00 () = 6 + 6 = 6( + 1)  0 ⇔   −1, so  is CU on (−1 ∞) and
CD on (−∞ −1). IP at (−1 2)
H.
2.  =  () = 23 − 122 + 18 = 2(2 − 6 + 9) = 2( − 3)2
A.  =  B. ­intercepts are 0 and 3, ­intercept  (0) = 0 C. No symmetry
D. No asymptote
E.  0 () = 62 − 24 + 18 = 6(2 − 4 + 3)
= 6( − 1)( − 3)  0
⇔
  1 or   3
and  ()  0 ⇔ 1    3, so  is increasing on (−∞ 1) and (3 ∞), and
0
decreasing on (1 3). F. Local maximum value  (1) = 8, local minimum value
 (3) = 0 G.  00 () = 12 − 24 = 12( − 2)  0 ⇔   2, so  is CU on
(2 ∞), and  is CD on (−∞ 2). IP at (2 4)
3.  =  () = 4 − 4 = (3 − 4)
A.  =  B. ­intercepts are 0 and
√
3
4,
H.
­intercept =  (0) = 0 C. No symmetry D. No asymptote
E.  0 () = 43 − 4 = 4(3 − 1) = 4( − 1)(2 +  + 1)  0 ⇔   1, so
 is increasing on (1 ∞) and decreasing on (−∞ 1). F. Local minimum value
 (1) = −3, no local maximum G.  00 () = 122  0 for all , so  is CU on
(−∞ ∞). No IP
A.  =  B. ­intercept  (0) = 8; ­intercepts:  () = 0 ⇒ [by the quadratic formula]

√
 = ± 4 ± 2 2  ±261 ±108 C.  (−) =  (), so  is even and symmetric about the ­axis D. No asymptote
4.  =  () = 4 − 82 + 8
E.  0 () = 43 − 16 = 4(2 − 4) = 4( + 2)( − 2)  0 ⇔ −2    0 or   2, so  is increasing on (−2 0)
and (2 ∞), and  is decreasing on (−∞ −2) and (0 2).
H.
F. Local maximum value  (0) = 8, local minimum values  (±2) = −8
√
G.  00 () = 122 − 16 = 4(32 − 4)  0 ⇒ ||  2 3 [≈ 115], so  is
√
√ 
√ 
 √



CU on −∞ −2 3 and 2 3 ∞ , and  is CD on −2 3 2 3 .
√


IP at ±2 3 − 89
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
¤
386
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
5.  =  () = ( − 4)3
A.  =  B. ­intercepts are 0 and 4, ­intercept  (0) = 0 C. No symmetry
D. No asymptote
H.
E.  0 () =  · 3( − 4)2 + ( − 4)3 · 1 = ( − 4)2 [3 + ( − 4)]
= ( − 4)2 (4 − 4) = 4( − 1)( − 4)2  0
⇔
  1, so  is increasing on (1 ∞) and decreasing on (−∞ 1).
F. Local minimum value (1) = −27, no local maximum value
G.  00 () = 4[( − 1) · 2( − 4) + ( − 4)2 · 1] = 4( − 4)[2( − 1) + ( − 4)]
= 4( − 4)(3 − 6) = 12( − 4)( − 2)  0
⇔
2    4, so  is CD on (2 4) and CU on (−∞ 2) and (4 ∞). IPs at (2 −16) and (4 0)
6.  =  () = 5 − 5 = (4 − 5)
√
A.  =  B. ­intercepts ± 4 5 and 0, ­intercept = (0) = 0
C.  (−) = − (), so  is odd; the curve is symmetric about the origin. D. No asymptote
E.  0 () = 54 − 5 = 5(4 − 1) = 5(2 − 1)(2 + 1)
2
= 5( + 1)( − 1)( + 1)  0
H.
⇔
  −1 or   1, so  is increasing on (−∞ −1) and (1 ∞), and  is decreasing
on (−1 1). F. Local maximum value  (−1) = 4, local minimum value
 (1) = −4 G.  00 () = 203  0 ⇔   0, so  is CU on (0 ∞) and CD
on (−∞ 0). IP at (0 0)
7.  =  () =
1 5

5


− 83 3 + 16 =  15 4 − 83 2 + 16 A.  =  B. ­intercept 0, ­intercept = (0) = 0
C.  (−) = − (), so  is odd; the curve is symmetric about the origin. D. No asymptote
E.  0 () = 4 − 82 + 16 = (2 − 4)2 = ( + 2)2 ( − 2)2  0 for all 
H.
except ±2, so  is increasing on . F. There is no local maximum or
minimum value.
G.  00 () = 43 − 16 = 4(2 − 4) = 4( + 2)( − 2)  0 ⇔
−2    0 or   2, so  is CU on (−2 0) and (2 ∞), and  is CD on




(−∞ −2) and (0 2). IP at −2 − 256
, (0 0), and 2 256
15
15
8.  =  () = (4 − 2 )5
A.  =  B. ­intercept:  (0) = 45 = 1024; ­intercepts: ±2 C.  (−) =  () ⇒
 is even; the curve is symmetric about the y­axis. D. No asymptote E.  0 () = 5(4 − 2 )4 (−2) = −10(4 − 2 )4 ,
so for  6= ±2 we have  0 ()  0 ⇔   0 and  0 ()  0 ⇔   0. Thus,  is increasing on (−∞ 0) and
decreasing on (0 ∞). F. Local maximum value  (0) = 1024
G.  00 () = −10 · 4(4 − 2 )3 (−2) + (4 − 2 )4 (−10)
H.
= −10(4 − 2 )3 [−82 + 4 − 2 ] = −10(4 − 2 )3 (4 − 92 )
so  00 () = 0 ⇔  = ±2 ± 23 .  00 ()  0 ⇔ −2    − 23 and
   2 and  00 ()  0 ⇔   −2, − 23    23 , and   2, so  is






CU on (−∞ 2), − 23  23 , and (2 ∞), and CD on −2 − 23 and 23  2 .

 5 
IP at (±2 0) and ± 23  32
≈ (±067 56825)
9
2
3
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.5 SUMMARY OF CURVE SKETCHING
9.  =  () =
2 + 3
+2
C. No symmetry D.
is a VA. E.  0 () =
¤
A.  = { |  6= −2} = (−∞ −2) ∪ (−2 ∞) B. ­intercept = − 32 , ­intercept =  (0) =
lim
→±∞
387
3
2
2 + 3
2 + 3
2 + 3
= 2, so  = 2 is a HA. lim
= ∞, lim
= −∞, so  = −2
+2
→−2−  + 2
→−2+  + 2
( + 2) · 2 − (2 + 3) · 1
1
=
 0 for
( + 2)2
( + 2)2
H.
 6= −2, so  is increasing on (−∞ −2) and (−2 ∞). F. No extreme values
G.  00 () =
−2
 0 ⇔   −2, so  is CU on (−∞ −2) and CD
( + 2)3
on (−2 ∞). No IP
10.  =  () =



2 + 5
( + 5)
=
for  6= −5. There is a hole in the graph at −5 − 12 .
=
2
25 − 
(5 + )(5 − )
5−
A.  = { |  6= ±5} = (−∞ −5) ∪ (−5 5) ∪ (5 ∞) B. ­intercept = 0, ­intercept = (0) = 0 C. No symmetry
D.
lim
→±∞



= −1, so  = −1 is a HA. lim
= ∞, lim
= −∞, so  = 5 is a VA.
5−
→5− 5 − 
→5+ 5 − 
E.  0 () =
(5 − )(1) − (−1)
5
=
 0 for all  in , so  is
(5 − )2
(5 − )2
H.
increasing on (−∞ −5), (−5 5), and (5 ∞). F. No extrema
G.  0 () = 5(5 − )−2
⇒
 00 () = −10(5 − )−3 (−1) =
10
 0 ⇔   5, so  is CU on
(5 − )3
(−∞ −5) and (−5 5), and  is CD on (5 ∞). No IP
11.  =  () =

 − 2
(1 − )
=
for  6= 1. There is a hole in the graph at (1 1).
=
2 − 3 + 2
(1 − )(2 − )
2−
A.  = { |  6= 1 2} = (−∞ 1) ∪ (1 2) ∪ (2 ∞) B. ­intercept = 0, ­intercept =  (0) = 0 C. No symmetry
D.
lim
→±∞

= −1, so  = −1 is a HA.
2−
E.  0 () =
lim
→2−


= ∞, lim
= −∞, so  = 2 is a VA.
2−
→2+ 2 − 
(2 − )(1) − (−1)
2
=
 0 [ 6= 1 2], so  is
(2 − )2
(2 − )2
H.
increasing on (−∞ 1), (1 2), and (2 ∞). F. No extrema
G.  0 () = 2(2 − )−2
⇒
 00 () = −4(2 − )−3 (−1) =
4
 0 ⇔   2, so  is CU on
(2 − )3
(−∞ 1) and (1 2), and  is CD on (2 ∞). No IP
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
388
¤
CHAPTER 4
12.  =  () = 1 +
APPLICATIONS OF DIFFERENTIATION
1
1
2 +  + 1
+ 2 =


2
A.  = (−∞ 0) ∪ (0 ∞) B. ­intercept: none [ 6= 0];
­intercepts:  () = 0 ⇔ 2 +  + 1 = 0, there is no real solution, and hence, no ­intercept C. No symmetry


1
1
1
2
− − 2
1 + + 2 = 1, so  = 1 is a HA. lim  () = ∞, so  = 0 is a VA. E.  0 () = − 2 − 3 =
.
D. lim
→±∞
→0




3
 0 ()  0 ⇔ −2    0 and  0 ()  0 ⇔   −2 or   0, so  is increasing on (−2 0) and decreasing
on (−∞ −2) and (0 ∞). F. Local minimum value  (−2) = 34 ; no local
G.  00 () =
maximum
H.
2
6
2 + 6 00
+ 4 =
.  ()  0 ⇔   −3 and
3

4
 00 ()  0 ⇔ −3    0 and   0, so  is CD on (−∞ −3) and CU on


(−3 0) and (0 ∞). IP at −3 79
13.  =  () =


=
2 − 4
( + 2)( − 2)
A.  = (−∞ −2) ∪ (−2 2) ∪ (2 ∞) B. ­intercept = 0,
­intercept = (0) = 0 C.  (−) = − (), so  is odd; the graph is symmetric about the origin.
D. lim
→2+

= ∞, lim  () = −∞, lim  () = ∞, lim  () = −∞, so  = ±2 are VAs.
2 − 4
→2−
→−2+
→−2−
(2 − 4)(1) − (2)
2 + 4

0
=
0,
so

=
0
is
a
HA.
E.

()
=
=
−
 0 for all  in , so  is
→±∞ 2 − 4
(2 − 4)2
(2 − 4)2
lim
decreasing on (−∞ −2), (−2 2), and (2 ∞).
F. No local extrema
2
G.  00 () = −
=−
=−
H.
2
2
2
( − 4) (2) − ( + 4)2( − 4)(2)
[(2 − 4)2 ]2
2(2 − 4)[(2 − 4) − 2(2 + 4)]
(2 − 4)4
2(−2 − 12)
2(2 + 12)
=
.
(2 − 4)3
( + 2)3 ( − 2)3
 00 ()  0 if   −2 or 0    2, so  is CD on (−∞ −2) and (0 2), and CU
on (−2 0) and (2 ∞). IP at (0 0)
14.  =  () =
1
1
=
2 − 4
( + 2)( − 2)
­intercept =  (0) = − 14
D. lim
→2+
A.  = (−∞ −2) ∪ (−2 2) ∪ (2 ∞) B. No ­intercept,
C.  (−) =  (), so  is even; the graph is symmetric about the ­axis.
1
= ∞, lim  () = −∞, lim  () = −∞, lim () = ∞, so  = ±2 are VAs. lim  () = 0,
→±∞
2 − 4
→2−
→−2+
→−2−
so  = 0 is a HA. E.  0 () = −
2
[Reciprocal Rule]  0 if   0 and  is in , so  is increasing on
(2 − 4)2
(−∞ −2) and (−2 0).  is decreasing on (0 2) and (2 ∞). F. Local maximum value (0) = − 14 , no local minimum
value
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.5 SUMMARY OF CURVE SKETCHING
(2 − 4)2 (−2) − (−2)2(2 − 4)(2)
[(2 − 4)2 ]2


−2(2 − 4) (2 − 4) − 42
=
(2 − 4)4
G.  00 () =
¤
389
H.
−2(−32 − 4)
2(32 + 4)
=
2
3
( − 4)
(2 − 4)3
=
 00 ()  0 ⇔ −2    2, so  is CD on (−2 2) and CU on (−∞ −2)
and (2 ∞). No IP
15.  =  () =
(2 + 3) − 3
3
2
=
=1− 2
2 + 3
2 + 3
 +3
A.  =  B. ­intercept: (0) = 0;
­intercepts:  () = 0 ⇔  = 0 C.  (−) =  (), so  is even; the graph is symmetric about the ­axis.
D.
−2
6
2
= 1, so  = 1 is a HA. No VA. E. Using the Reciprocal Rule,  0 () = −3 · 2
= 2
.
+3
( + 3)2
( + 3)2
lim
→±∞ 2
 0 ()  0 ⇔   0 and  0 ()  0 ⇔   0, so  is decreasing on (−∞ 0) and increasing on (0 ∞).
F. Local minimum value (0) = 0, no local maximum.
G.  00 () =
=
(2 + 3)2 · 6 − 6 · 2(2 + 3) · 2
[(2 + 3)2 ]2
H.
6(2 + 3)[(2 + 3) − 42 ]
6(3 − 32 )
−18( + 1)( − 1)
=
=
(2 + 3)4
(2 + 3)3
(2 + 3)3
 00 () is negative on (−∞ −1) and (1 ∞) and positive on (−1 1),


so  is CD on (−∞ −1) and (1 ∞) and CU on (−1 1). IP at ±1 14
16.  =  () =
( − 1)2
≥ 0 with equality ⇔  = 1. A.  =  B. ­intercept =  (0) = 1; ­intercept 1 C. No
2 + 1
2 − 2 + 1
1 − 2 + 12
= lim
= 1, so  = 1 is a HA. No VA
2
→±∞
→±∞
→±∞
 +1
1 + 12


2( − 1) (2 + 1) − ( − 1)
(2 + 1)2( − 1) − ( − 1)2 (2)
2( − 1)( + 1)
=
=
0 ⇔
E.  0 () =
(2 + 1)2
(2 + 1)2
(2 + 1)2
symmetry D.
lim () = lim
−1    1, so  is decreasing on (−1 1) and increasing on (−∞ −1) and (1 ∞) F. Local maximum value  (−1) = 2,
local minimum value  (1) = 0
G.  00 () =


4(2 + 1) (2 + 1) − (22 − 2)
(2 + 1)2 (4) − (22 − 2)2(2 + 1)(2)
4(3 − 2 )
=
=
.
2
2
4
( + 1)
(2 + 1)3
[(2 + 1)2 ]
√
√
√ 

 00 ()  0 ⇔   − 3 or 0    3, so  is CU on −∞ − 3
 √ 
√

 √ 
3 ∞ .
and 0 3 , and  is CD on − 3 0 and
√ 
√
 √ 
√

2
 ± 3 = 14
3 ∓ 1 = 14 4 ∓ 2 3 = 1 ∓ 12 3 [≈ 013 187], so
√ 
√ 
√
 √
3 1 − 12 3 . Note that
there are IPs at − 3 1 + 12 3 , (0 1), and
H.
the graph is symmetric about the point (0 1).
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
390
¤
CHAPTER 4
17.  =  () =
APPLICATIONS OF DIFFERENTIATION
−1
2
C. No symmetry D.
E.  0 () =
A.  = { |  6= 0} = (−∞ 0) ∪ (0 ∞) B. No ­intercept; ­intercept:  () = 0 ⇔  = 1
lim
→±∞
−1
−1
= 0, so  = 0 is a HA. lim
= −∞, so  = 0 is a VA.
→0 2
2
2 · 1 − ( − 1) · 2
−2 + 2
−( − 2)
=
=
, so  0 ()  0 ⇔ 0    2 and  0 ()  0 ⇔
2
2
( )
4
3
  0 or   2. Thus,  is increasing on (0 2) and decreasing on (−∞ 0)
H.
and (2 ∞). F. No local minimum, local maximum value (2) = 14 .
G.  00 () =
3 · (−1) − [−( − 2)] · 32
23 − 62
2( − 3)
=
=
.
3
2
( )
6
4
 00 () is negative on (−∞ 0) and (0 3) and positive on (3 ∞), so  is CD


on (−∞ 0) and (0 3) and CU on (3 ∞). IP at 3 29
18.  =  () =

3 − 1
C. No symmetry D.
A.  = (−∞ 1) ∪ (1 ∞) B. ­intercept:  (0) = 0; ­intercept:  () = 0 ⇔  = 0
lim
→±∞

= 0, so  = 0 is a HA. lim  () = −∞ and lim  () = ∞, so  = 1 is a VA.
3 − 1
→1−
→1+


(3 − 1)(1) − (32 )
−23 − 1 0
=
.  () = 0 ⇒  = − 3 12.  0 ()  0 ⇔   − 3 12 and
(3 − 1)2
(3 − 1)2


 



 0 ()  0 ⇔ − 3 12    1 and   1, so  is increasing on −∞ − 3 12 and decreasing on − 3 12 1
E.  0 () =

 
and (1 ∞). F. Local maximum value  − 3 12 =
G.  00 () =

12; no local minimum
2 3
3
(3 − 1)2 (−62 ) − (−23 − 1)2(3 − 1)(32 )
[(3 − 1)2 ]2
H.
−62 (3 − 1)[(3 − 1) − (23 + 1)]
62 (3 + 2)
=

(3 − 1)4
(3 − 1)3
√
√
 00 ()  0 ⇔   − 3 2 and   1,  00 ()  0 ⇔ − 3 2    0 and
√ 
 √ 

0    1, so  is CU on −∞ − 3 2 and (1 ∞) and CD on − 3 2 1 .
√ 
 √
IP at − 3 2 13 3 2
=
19.  = () =
3
3
=
+1
( + 1)(2 −  + 1)
3
 () = 0 ⇔  = 0 C. No symmetry D.
A.  = (−∞ −1) ∪ (−1 ∞) B. ­intercept: (0) = 0; ­intercept:
lim
→±∞
lim  () = −∞, so  = −1 is a VA. E.  0 () =
→−1+
1
3
=
= 1, so  = 1 is a HA. lim  () = ∞ and
+1
1 + 13
→−1−
3
(3 + 1)(32 ) − 3 (32 )
32
= 3
.  0 ()  0 for  6= −1
3
2
( + 1)
( + 1)2
(not in the domain) and  6= 0 ( 0 = 0), so  is increasing on (−∞ −1), (−1 0), and (0 ∞), and furthermore, by
Exercise 4.3.97,  is increasing on (−∞ −1), and (−1 ∞). F. No local extrema
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.5 SUMMARY OF CURVE SKETCHING
G.  00 () =
(3 + 1)2 (6) − 32 [2(3 + 1)(32 )]
[(3 + 1)2 ]2
¤
391
H.
(3 + 1)(6)[(3 + 1) − 33 ]
6(1 − 23 )
=
3
4
( + 1)
(3 + 1)3

 00 ()  0 ⇔   −1 or 0    3 12 [≈ 079], so  is CU on (−∞ −1) and
=
  




0 3 12 and CD on (−1 0) and 3 12  ∞ . There are IPs at (0 0) and 3 12  13 .
20.  =  () =
3
8
= 2 + 2 + 4 +
[by long division] A.  = (−∞ 2) ∪ (2 ∞) B. ­intercept = 0,
−2
−2
3
3
= −∞ and lim
= ∞, so  = 2 is a VA.
−2
→2+  − 2
­intercept =  (0) = 0 C. No symmetry D. lim
→2−
There are no horizontal or slant asymptotes. Note: Since lim
→±∞
8
= 0, the parabola  = 2 + 2 + 4 is approached
−2
asymptotically as  → ±∞.
E.  0 () =
( − 2)(32 ) − 3 (1)
2 [3( − 2) − ]
2 (2 − 6)
22 ( − 3)
=
=
=
 0 ⇔   3 and
2
2
2
( − 2)
( − 2)
( − 2)
( − 2)2
 0 ()  0 ⇔   0 or 0    2 or 2    3, so  is increasing on (3 ∞) and  is decreasing on (−∞ 2) and (2 3).
F. Local minimum value (3) = 27, no local maximum value G.  0 () = 2
 00 () = 2
=2
( − 2)2 (32 − 6) − (3 − 32 )2( − 2)
[( − 2)2 ]2
3 − 32
( − 2)2
⇒
H.
( − 2)[( − 2)(3 − 6) − (2 − 3)2]
( − 2)4
=
2(32 − 12 + 12 − 22 + 6)
( − 2)3
=
2(2 − 6 + 12)
0
( − 2)3
⇔
  0 or   2, so  is CU on (−∞ 0) and (2 ∞), and  is CD on (0 2). IP at (0 0)
√
21.  =  () = ( − 3)  = 32 − 312
A.  = [0 ∞) B. ­intercepts: 0 3; ­intercept =  (0) = 0 C. No
symmetry D. No asymptote E.  0 () = 32 12 − 32 −12 = 32 −12 ( − 1) =
so  is increasing on (1 ∞) and decreasing on (0 1).
3( − 1)
√
0
2 
⇔
  1,
H.
F. Local minimum value (1) = −2, no local maximum value
G.  00 () = 34 −12 + 34 −32 = 34 −32 ( + 1) =
3( + 1)
 0 for   0,
432
so  is CU on (0 ∞). No IP
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°
392
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
√
22.  =  () = ( − 4) 3  = 43 − 413
A.  =  B. ­intercept =  (0) = 0; ­intercepts: 0 and 4
C. No symmetry D. No asymptote
H.
E.  0 () = 43 13 − 43 −23 = 43 −23 ( − 1) =
4( − 1)
.
323
 0 ()  0 ⇔
  1, so  is increasing on (1 ∞) and  is decreasing on (−∞ 1).
F. Local minimum value (1) = −3
G.  00 () = 49 −23 + 89 −53 = 49 −53 ( + 2) =
4( + 2)
.
953
 00 ()  0 ⇔ −2    0, so  is CD on (−2 0), and  is CU on (−∞ −2)
√ 

and (0 ∞). There are IPs at −2 6 3 2 and (0 0).
23.  =  () =

√
2 +  − 2 = ( + 2)( − 1) A.  = { | ( + 2)( − 1) ≥ 0} = (−∞ −2] ∪ [1 ∞)
B. ­intercept: none; ­intercepts: −2 and 1 C. No symmetry D. No asymptote
E.  0 () = 12 (2 +  − 2)−12 (2 + 1) =
2
2 + 1
√
,  0 () = 0 if  = − 12 , but − 12 is not in the domain.
2 +  − 2
 0 ()  0 ⇒   − 12 and  0 ()  0 ⇒   − 12 , so (considering the domain)  is increasing on (1 ∞) and
 is decreasing on (−∞ −2). F. No local extrema
2(2 +  − 2)12 (2) − (2 + 1) · 2 · 12 (2 +  − 2)−12 (2 + 1)
 √
2
2 2 +  − 2


(2 +  − 2)−12 4(2 +  − 2) − (42 + 4 + 1)
=
4(2 +  − 2)
H.
G.  00 () =
=
−9
0
4(2 +  − 2)32
so  is CD on (−∞ −2) and (1 ∞). No IP

√
2 +  −  = ( + 1) −  A.  = (−∞ −1] ∪ [0 ∞) B. ­intercept:  (0) = 0;
√
2 +  =  ⇒ 2 +  = 2 ⇒  = 0 C. No symmetry
­intercepts:  () = 0 ⇒
√
√
 2 +  + 
2 +  − 2
2
 +− √
= lim √
D. lim  () = lim
→∞
→∞
2 +  +  →∞ 2 +  + 
24.  =  () =

1
1
 = lim 
= , so  =
= lim √
2
→∞
→∞
2
 +  +  
1 + 1 + 1
E.  0 () = 12 (2 + )−12 (2 + 1) − 1 =
+
1
2

2
1
2
is a HA. No VA
√
2 + 1
√
− 1  0 ⇔ 2 + 1  2 2 +  ⇔
2 + 

2
 + 12 − 14 . Keep in mind that the domain excludes the interval (−1 0). When  +
the last inequality is true since the value of the radical is less than  + 12 . When  +
1
2
1
2
is positive (for  ≥ 0),
is negative (for  ≤ −1), the last
inequality is false since the value of the radical is positive. So  is increasing on (0 ∞) and decreasing on (−∞ −1).
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°
SECTION 4.5 SUMMARY OF CURVE SKETCHING
F. No local extrema
2
G.  00 () =
=
¤
H.
12
2( + )
(2) − (2 + 1) · 2 ·
 √
2 2 + 
1
(2
2
2
−12
+ )
(2 + 1)
−1
(2 + )−12 [4(2 + ) − (2 + 1)2 ]
=

4(2 + )
4(2 + )32
 00 ()  0 when it is defined, so  is CD on (−∞ −1) and (0 ∞). No IP
√
25.  =  () =  2 + 1
A.  =  B. ­intercept:  (0) = 0; ­intercepts:  () = 0 ⇒  = 0
C.  (−) = − (), so  is odd; the graph is symmetric about the origin.


1

1
√ = lim 
=1
= √
= lim √
= lim √
D. lim  () = lim √
2
→∞
→∞
→∞
1
+0
2 + 1 →∞ 2 + 1 →∞ 2 + 1 2
1 + 1
and



1
 √  = lim

= lim √
= lim √
lim () = lim √
→−∞
→−∞ −
2 + 1 →−∞ 2 + 1 →−∞ 2 + 1 − 2
1 + 12
→−∞
=
E.  0 () =
1
√
= −1 so  = ±1 are HA. No VA
− 1+0
√
2 + 1 −  ·
2
√
2 + 1 − 2
1
2 + 1
=
=
 0 for all , so  is increasing on .
32
2
2
[(2 + 1)12 ]2
( + 1)
( + 1)32
2
F. No extreme values
H.
−3
G.  00 () = − 32 (2 + 1)−52 · 2 = 2
, so  00 ()  0 for   0
( + 1)52
and  00 ()  0 for   0. Thus,  is CU on (−∞ 0) and CD on (0 ∞).
IP at (0 0)
26.  =  () = 
√
2 − 2
 √ √ 
A.  = − 2 2
B. ­intercept:  (0) = 0; ­intercepts:  () = 0 ⇒
√
 = 0, ± 2. C.  (−) = − (), so  is odd; the graph is symmetric about the origin. D. No asymptote
√
√
−
−2 + 2 − 2
2(1 + )(1 − ) 0
√
√
+ 2 − 2 =
=
.  () is negative for − 2    −1
E.  0 () =  · √
2
2
2
2−
2−
2−
√
 √

 √ 
and 1    2, and positive for −1    1, so  is decreasing on − 2 −1 and 1 2 and increasing on (−1 1).
F. Local minimum value (−1) = −1, local maximum value (1) = 1.
√
−
2 − 2 (−4) − (2 − 22 ) √
2 − 2
00
G.  () =
[(2 − 2 )12 ]2
H.
(2 − 2 )(−4) + (2 − 22 )
2(2 − 3)
23 − 6
=
=
2
32
2
32
(2 −  )
(2 −  )
(2 − 2 )32
√
√
√


Since 2 − 3  0 for  in − 2 2 ,  00 ()  0 for − 2    0 and
√
 √ 
 √ 
 00 ()  0 for 0    2. Thus,  is CU on − 2 0 and CD on 0 2 .
=
The only IP is (0 0).
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
393
394
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
√
1 − 2  A.  = { | || ≤ 1,  6= 0} = [−1 0) ∪ (0 1] B. ­intercepts ±1, no ­intercept
√
√
1 − 2
1 − 2
= ∞, lim
= −∞,
C.  (−) = − (), so the curve is symmetric about (0 0)  D. lim
+
−


→0
→0
 √
 2√
−  1 − 2 − 1 − 2
1
so  = 0 is a VA. E.  0 () =
=− √
 0, so  is decreasing
2
2 1 − 2
27.  = () =
on (−1 0) and (0 1). F. No extreme values
G.  00 () =
2 − 32
2 )32
H.


 0 ⇔ −1    − 23 or 0    23 , so
3 (1 −
 

  
 



2
 is CU on −1 − 23 and 0 23 and CD on − 23  0 and
1 .
3
 

IP at ± 23  ± √12
√
28.  =  () =  2 − 1
A.  = (−∞ −1) ∪ (1 ∞) B. No intercepts C.  (−) = − (), so  is odd;


= 1 and lim √
= −1, so  = ±1 are HA.
the graph is symmetric about the origin. D. lim √
→∞
→−∞
2 − 1
2 − 1
lim  () = +∞ and
→1+
lim  () = −∞, so  = ±1 are VA.
→−1−
√

2 − 1 −  · √
2 −1
2 − 1 − 2
−1

=
= 2
 0, so  is decreasing on (−∞ −1) and (1 ∞).
E.  0 () =
[(2 − 1)12 ]2
(2 − 1)32
( − 1)32
F. No extreme values
 
G.  00 () = (−1) − 32 (2 − 1)−52 · 2 =
H.
3
.
(2 − 1)52
 00 ()  0 on (−∞ −1) and  00 ()  0 on (1 ∞), so  is CD on (−∞ −1)
and CU on (1 ∞). No IP
A.  =  B. ­intercept:  (0) = 0; ­intercepts:  () = 0 ⇒  = 313 ⇒
√
3 = 27 ⇒ 3 − 27 = 0 ⇒ (2 − 27) = 0 ⇒  = 0, ±3 3 C.  (−) = − (), so  is odd;
29.  =  () =  − 313
the graph is symmetric about the origin. D. No asymptote E.  0 () = 1 − −23 = 1 −
1
23
=
23 − 1
.
23
 0 ()  0 when ||  1 and  0 ()  0 when 0  ||  1, so  is increasing on (−∞ −1) and (1 ∞), and
decreasing on (−1 0) and (0 1) [hence decreasing on (−1 1) since  is
H.
continuous on (−1 1)]. F. Local maximum value  (−1) = 2, local minimum
value  (1) = −2 G.  00 () = 23 −53  0 when   0 and  00 ()  0
when   0, so  is CD on (−∞ 0) and CU on (0 ∞). IP at (0 0)
30.  =  () = 53 − 523 = 23 ( − 5)
D.
A.  =  B. ­intercepts 0, 5; ­intercept 0 C. No symmetry
lim 23 ( − 5) = ±∞, so there is no asymptote. E.  0 () = 53 23 −
→±∞
10 −13
3 
= 53 −13 ( − 2)  0 ⇔
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.5 SUMMARY OF CURVE SKETCHING
  0 or   2, so  is increasing on (−∞ 0), (2 ∞) and
¤
395
H.
decreasing on (0 2).
F. Local maximum value  (0) = 0, local minimum value (2) = −3
G.  00 () =
10 −13
9 
+
10 −43
9 
=
10 −43
(
9 
√
3
4
+ 1)  0 ⇔   −1, so
 is CU on (−1 0) and (0 ∞), CD on (−∞ −1). IP at (−1 −6)
31.  =  () =
√
3
2 − 1 A.  =  B. ­intercept:  (0) = −1; ­intercepts:  () = 0 ⇔ 2 − 1 = 0 ⇔
 = ±1 C.  (−) =  (), so the curve is symmetric about the ­axis D. No asymptote
E.  0 () = 13 (2 − 1)−23 (2) =
3
2

.  0 ()  0 ⇔   0 and  0 ()  0 ⇔   0, so  is
3
(2 − 1)2
increasing on (0 ∞) and decreasing on (−∞ 0). F. Local minimum value  (0) = −1
G.  00 () =
=
2
23
2
−13
(2)
2 ( − 1) (1) −  · 23 ( − 1)
·
2
23
2
3
[( − 1) ]
H.
2(2 + 3)
2 (2 − 1)−13 [3(2 − 1) − 42 ]
·
=
−
9
(2 − 1)43
9(2 − 1)53
 00 ()  0 ⇔ −1    1 and  00 ()  0 ⇔   −1 or   1, so
 is CU on (−1 1) and  is CD on (−∞ −1) and (1 ∞). IP at (±1 0)
32.  =  () =
√
3
3 + 1 A.  =  B. ­intercept:  (0) = 1; ­intercept:  () = 0 ⇔ 3 + 1 = 0 ⇒  = −1
2
C. No symmetry D. No asymptote E.  0 () = 13 (3 + 1)−23 (32 ) = 
.  0 ()  0 if   −1,
3
(3 + 1)2
−1    0, and   0, so  is increasing on . F. No local extrema
G.  00 () =
=
H.
(3 + 1)23 (2) − 2 · 23 (3 + 1)−13 (32 )
[(3 + 1)23 ]2
(3 + 1)−13 [2(3 + 1) − 23 ]
2
= 3
(3 + 1)43
( + 1)53
 00 ()  0 ⇔   −1 or   0 and  00 ()  0 ⇔ −1    0, so  is
CU on (−∞ −1) and (0 ∞) and CD on (−1 0). IP at (−1 0) and (0 1)
33.  =  () = sin3 
A.  =  B. ­intercepts:  () = 0 ⇔  = ,  an integer; ­intercept =  (0) = 0
C.  (−) = − (), so  is odd and the curve is symmetric about the origin. Also, ( + 2) = (), so  is periodic
with period 2, and we determine E–G for 0 ≤  ≤ . Since  is odd, we can reflect the graph of  on [0 ] about the
origin to obtain the graph of  on [− ], and then since  has period 2, we can extend the graph of  for all real numbers.
D. No asymptote E.  0 () = 3 sin2  cos   0 ⇔ cos   0 and sin  6= 0 ⇔ 0   

,
2
so  is increasing on
 






 
0 2 and  is decreasing on 2   . F. Local maximum value  2 = 1 local minimum value  − 2 = −1
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
396
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
G.  00 () = 3 sin2  (− sin ) + 3 cos  (2 sin  cos ) = 3 sin  (2 cos2  − sin2 )
= 3 sin  [2(1 − sin2 ) − sin2 ] = 3 sin (2 − 3 sin2 )  0
sin   0 and sin2  
2
3
⇔ 0     and 0  sin  

2
3
⇔
⇔ 0    sin−1

2
3
 

let  = sin−1 23 or
 −     , so  is CU on (0 ) and ( −  ), and  is CD on (  − ). There are inflection points at  = 0, , ,
and  =  − .
H.
34.  =  () =  + cos 
A.  =  B. ­intercept:  (0) = 1; the ­intercept is about −074 and can be found using
Newton’s method C. No symmetry D. No asymptote E.  0 () = 1 − sin   0 except for  =

2
+ 2,
H.
so  is increasing on . F. No local extrema
G.  00 () = − cos .  00 ()  0 ⇒ − cos   0 ⇒ cos   0 ⇒


+ 2 and  00 ()  0 ⇒
 is in 2 + 2 3
2




 is in − 2 + 2 2 + 2 , so  is CU on 2 + 2 3
2 + 2 and CD on



 

 
− 2 + 2 2 + 2 . IP at 2 +   2 +  = 2 +  2 + 
[on the line  = ]
35.  =  () =  tan , − 2   
symmetric about the ­axis. D.

2


B. Intercepts are 0 C.  (−) =  (), so the curve is
A.  = − 2  2
lim
→(2)−
 tan  = ∞ and
lim
→−(2)+
 tan  = ∞, so  =


E.  0 () = tan  +  sec2   0 ⇔ 0    2 , so  increases on 0 2


and decreases on − 2  0 . F. Absolute and local minimum value  (0) = 0.
G.  00 = 2 sec2  + 2 tan  sec2   0 for − 2   


CU on − 2  2 . No IP
36.  =  () = 2 − tan , − 2   

2
2 = tan  ⇔  = 0 or  ≈ ±117
D.
lim
→(−2)+
(2 − tan ) = ∞ and

,
2

2
and  = − 2 are VA.
H.
so  is


B. ­intercept: (0) = 0; ­intercepts:  () = 0 ⇔
A.  = − 2  2
C. (−) = −(), so  is odd; the graph is symmetric about the origin.
lim
→(2)−
E.  0 () = 2 − sec2   0 ⇔ |sec | 
(2 − tan ) = −∞, so  = ± 2 are VA. No HA.
√
√


2 and  0 ()  0 ⇔ |sec |  2, so  is decreasing on − 2  − 4 ,
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.5 SUMMARY OF CURVE SKETCHING



 

F. Local maximum value  4 =
increasing on − 4  4 , and decreasing again on 4  2


local minimum value  − 4 = − 2 + 1

2
¤
397
− 1,
H.
G.  00 () = −2 sec  · sec  tan  = −2 tan  sec2  = −2 tan (tan2  + 1)
so  00 ()  0 ⇔ tan   0 ⇔ − 2    0, and  00 ()  0 ⇔




tan   0 ⇔ 0    2 . Thus,  is CU on − 2  0 and CD on 0 2 .
IP at (0 0)
√
√
3 cos , −2 ≤  ≤ 2 A.  = [−2 2] B. ­intercept: (0) = 3; ­intercepts:
√
√
 () = 0 ⇔ sin  = − 3 cos  ⇔ tan  = − 3 ⇔  = − 4
 − 3  2
 or 5
C.  is periodic with period
3
3
3
37.  =  () = sin  +
2. D. No asymptote E.  0 () = cos  −
, − 5
,
 = − 11
6
6
and

7
6 6

,
6
or
7
.
6
√
√
3 sin .  0 () = 0 ⇔ cos  = 3 sin 
 0 ()  0 ⇔ − 11
   − 5
or
6
6

6
1
tan  = √
⇔
3


   7
, so  is decreasing on − 11
 − 5
6
6
6
⇔


  5  


, and  is increasing on −2 − 11
, − 6  6 , and 7
6
6  2 . F. Local maximum value

 

=  6 =
 − 11
6
1
2
G.  00 () = − sin  −
1
tan  = − √
3
+
√ 1√ 
√  √ 

 

=  7
= − 12 + 3 − 12 3 = −2
3 2 3 = 2, local minimum value  − 5
6
6
√
√
3 cos .  00 () = 0 ⇔ sin  = − 3 cos  ⇔
, − 3 ,
⇔  = − 4
3
2
,
3
or
5
.
3
H.
 00 ()  0 ⇔




, and
   − 3 or 2
   5
, so  is CU on − 4
 − 3 and 2
 5
− 4
3
3
3
3
3
3








, − 3  2
, and 5
 is CD on −2 − 4
 2 . There are IPs at − 4
0 ,
3
3
3
3
    2 


− 3  0 , 3  0 , and 5
0 .
3
A.  = (0 ) B. No ­intercept; ­intercept: () = 0 ⇔
√
= sin2  ⇔ sin  = ± 12 2 ⇔  = 4 or 3
C. No symmetry
4
38.  =  () = csc  − 2 sin , 0    
csc  = 2 sin  ⇔
1
2
D. lim  () = ∞ and lim  () = ∞, so  = 0 and  =  are VAs.
→ −
→0+
cos 
− 2 cos  = − cos 
sin2 


cos   0 ⇔ 2    , so  0 is increasing on 2   , and  is

 

decreasing on 0 2 . F. Local minimum value  2 = −1
E.  0 () = − csc  cot  − 2 cos  = −


1
+
2
.  0 ()  0 when − cos   0 ⇔
sin2 
H.
G.  00 () = (− csc )(− csc2 ) + (cot )(csc  cot ) + 2 sin 
=
1 + cos2  + 2 sin4 
sin3 
 00 has the same sign as sin , which is positive on (0 ), so  is CU on (0 ).
No IP
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
398
¤
CHAPTER 4
39.  =  () =
APPLICATIONS OF DIFFERENTIATION
sin 
1 + cos 




when
cos  6= 1
=
1 − cos 
sin  (1 − cos )
sin 
1 − cos 

·
=
= csc  − cot 
=
1 + cos  1 − cos 
sin 
sin2 
A. The domain of  is the set of all real numbers except odd integer multiples of ; that is, all reals except (2 + 1), where
 is an integer. B. ­intercept:  (0) = 0; ­intercepts:  = 2,  an integer. C.  (−) = − (), so  is an odd
function; the graph is symmetric about the origin and has period 2. D. When  is an odd integer,
lim
→()+
lim
→()−
 () = ∞ and
 () = −∞, so  =  is a VA for each odd integer . No HA.
E.  0 () =
(1 + cos ) · cos  − sin (− sin )
1 + cos 
1
.  0 ()  0 for all  except odd multiples of
=
=
(1 + cos )2
(1 + cos )2
1 + cos 
, so  is increasing on ((2 − 1) (2 + 1)) for each integer . F. No extreme values
G.  00 () =
sin 
 0 ⇒ sin   0 ⇒
(1 + cos )2
H.
 ∈ (2 (2 + 1)) and  00 ()  0 on ((2 − 1) 2) for each
integer .  is CU on (2 (2 + 1)) and CD on ((2 − 1) 2)
for each integer .  has IPs at (2 0) for each integer .
40.  =  () =
sin 
2 + cos 
A.  =  B. ­intercept:  (0) = 0; ­intercepts: () = 0 ⇔ sin  = 0 ⇔  = 
C.  (−) = −(), so the curve is symmetric about the origin.  is periodic with period 2, so we determine E–G for
0 ≤  ≤ 2. D. No asymptote
(2 + cos ) cos  − sin (− sin )
2 cos  + cos2  + sin2 
2 cos  + 1
=
=
.
2
(2 + cos )
(2 + cos )2
(2 + cos )2
  4


 0 ()  0 ⇔ 2 cos  + 1  0 ⇔ cos   − 12 ⇔  is in 0 2
or 3  2 , so  is increasing
3






and 4
.
 2 , and  is decreasing on 2
 4
on 0 2
3
3
3
3
√
√
√
√
 4 
 2 
− 32
32
3
3
=
and local minimum value  3 =
=−
F. Local maximum value  3 =
2 − (12)
3
2 − (12)
3
E.  0 () =
G.  00 () =
=
(2 + cos )2 (−2 sin ) − (2 cos  + 1)2(2 + cos )(− sin )
[(2 + cos )2 ]2
−2 sin  (2 + cos )[(2 + cos ) − (2 cos  + 1)]
−2 sin  (1 − cos )
=
(2 + cos )4
(2 + cos )3
 00 ()  0 ⇔ −2 sin   0
⇔ sin   0 ⇔  is in ( 2) [ is CU] and  00 ()  0 ⇔
 is in (0 ) [ is CD]. The inflection points are (0 0), ( 0), and (2 0).
H.
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°
SECTION 4.5 SUMMARY OF CURVE SKETCHING
A.  =  B. ­intercept =  (0) = arctan 1 =
41.  =  () = arctan( )
C. No symmetry D.
E.  0 () =
G.  00 () =
=
lim arctan( ) = 0 and lim arctan( ) =
→−∞
→∞

2,

4.
¤
399
()  0 so there are no ­intercepts.
so  = 0 and  =

2
are HAs. No VA
1

 
 =
 0, so  is increasing on (−∞ ∞). F. No local extrema

2
1 + ( ) 
1 + 2
(1 + 2 ) −  (22 )
 [(1 + 2 ) − 22 ]
=
2
2
(1 +  )
(1 + 2 )2
 (1 − 2 )
0
(1 + 2 )2
H.
⇔
1 − 2  0 ⇔ 2  1 ⇔ 2  0 ⇔   0, so  is CU on


(−∞ 0) and CD on (0 ∞). IP at 0 4
42.  =  () = (1 − )
D.
1− 
form
→−∞ −
lim
A.  =  B. ­intercept 1, ­intercept =  (0) = 1 C. No symmetry
∞
∞

H
= lim
→−∞
−1
= 0, so  = 0 is a HA. No VA
−−
E.  0 () = (1 − ) +  (−1) =  [(1 − ) + (−1)] = −  0 ⇔   0, so  is increasing on (−∞ 0)
H.
and decreasing on (0 ∞).
F. Local maximum value  (0) = 1, no local minimum value
G.  00 () = − +  (−1) =  (− − 1) = −( + 1)  0 ⇔
  −1, so  is CU on (−∞ −1) and CD on (−1 ∞). IP at (−1 2)
43.  = 1(1 + − )
A.  =  B. No ­intercept; ­intercept =  (0) = 12  C. No symmetry
D. lim 1(1 + − ) =
→∞
1
1+0
= 1 and lim 1(1 + − ) = 0 since lim − = ∞, so  has horizontal asymptotes
→−∞
→−∞
 = 0 and  = 1. E.  0 () = −(1 + − )−2 (−− ) = − (1 + − )2 . This is positive for all , so  is increasing on .
F. No extreme values G.  00 () =
(1 + − )2 (−− ) − − (2)(1 + − )(−− )
− (− − 1)
=
−
4
(1 +  )
(1 + − )3
The second factor in the numerator is negative for   0 and positive for   0,
H.
and the other factors are always positive, so  is CU on (−∞, 0) and CD


on (0 ∞). IP at 0, 12
44.  =  () = − sin , 0 ≤  ≤ 2
A.  =  B. ­intercept:  (0) = 0; ­intercepts: () = 0 ⇔ sin  = 0 ⇔
 = 0, , and 2. C. No symmetry D. No asymptote E.  0 () = − cos  + sin  (−− ) = − (cos  − sin ).
    5

0
or 4  2 [  is increasing] and
 0 () = 0 ⇔ cos  = sin  ⇔  = 4 , 5
4 .  ()  0 if  is in 0 4

 
 

[  is decreasing]. F. Local maximum value  4 and local minimum value  5
 0 ()  0 if  is in 4  5
4
4
G.  00 () = − (− sin  − cos ) + (cos  − sin )(−− ) = − (−2 cos ).  00 ()  0 ⇔ −2 cos   0 ⇔
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION


[ is CU] and  00 ()  0 ⇔
 


cos   0 ⇒  is in 0 2 or 3
2  2 [ is CD].



IP at 2 +   2 + 
cos   0 ⇒  is in
45.  =  () =
3
2 2
H.
1
+ ln  A.  = (0 ∞) [same as ln ] B. No ­intercept; no ­intercept [1  |ln | on (0 1), and 1

and ln  are both positive on (1 ∞)] C. No symmetry D. lim  () = ∞, so  = 0 is a VA.
→0+
E.  0 () = −
−1
1
1
+ =
.  0 ()  0 for   1, so  is increasing on
2

2
H.
(1 ∞) and  is decreasing on (0 1).
F. Local minimum value (1) = 1 G.  00 () =
2
1
2−
− 2 =
.
3

3
 00 ()  0 for 0    2, so  is CU on (0 2), and  is CD on (2 ∞).


IP at 2 12 + ln 2
46.  =  (ln )2
A.  = (0 ∞) [same as ln ] B. No ­intercept; ­intercepts:  () = 0 ⇒
(ln ) = 0 [ = 0 not in domain] ⇒ ln  = 0 ⇒  = 1 C. No symmetry D. No HA;
2
(ln )2 H
2 ln  · 1
2 ln  H
2
= lim
= lim
= lim
= lim (2) = 0, no VA.
1
−12
→0+
→0+ −1
→0+ 12
→0+
 
1
E.  0 () =  · 2 ln  ·
+ (ln )2 · 1 = 2 ln  + (ln )2 = ln  (2 + ln ) = 0 ⇔  = 1 or  = −2 ;

lim  (ln )2 = lim
→0+
→0+
 0 ()  0 ⇔ 0    −2 or   1 and  0 ()  0 ⇔ −2    1, so  is increasing on (0 −2 ) and (1 ∞),


and decreasing on −2  1 . F. Local maximum value  (−2 ) = 4−2 , local
H.
1
2 (1 + ln )
2
+ 2 (ln ) · =
, so



minimum value  (1) = 0 G.  00 () =
 00 ()  0 ⇔ 1 + ln   0 ⇔   −1 and  00 ()  0 ⇔
0    −1 . Thus,  is CD on (0 −1 ) and CU on (−1  ∞). IP at (−1  −1 )
47.  =  () = (1 +  )−2 =
1
(1 +  )2
A.  =  B. ­intercept:  (0) = 14 . ­intercepts: none [since  ()  0]
C. No symmetry D. lim  () = 0 and lim  () = 1, so  = 0 and  = 1 are HA; no VA
→∞
→−∞

E.  0 () = −2(1 +  )−3  =
−2
 0, so  is decreasing on  F. No local extrema
(1 +  )3
G.  00 () = (1 +  )−3 (−2 ) + (−2 )(−3)(1 +  )−4 

= −2 (1 +  )−4 [(1 +  ) − 3 ] =
H.

−2 (1 − 2 )

(1 +  )4
 00 ()  0 ⇔ 1 − 2  0 ⇔   12 ⇔   ln 12 and




 00 ()  0 ⇔   ln 12 , so  is CU on ln 12  ∞ and CD on −∞ ln 12 .


IP at ln 12  49
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.5 SUMMARY OF CURVE SKETCHING
¤

48.  =  () =  2
lim
→0
A.  = (−∞ 0) ∪ (0 ∞) B. No intercept C. No symmetry D.
lim
→−∞

= 0, so  = 0 is HA.
2
2  −  (2)
 ( − 2)
 ( − 2)

= ∞, so  = 0 is a VA. E.  0 () =
=
=
 0 ⇔   0 or   2,
2
2
2
4

( )

3
so  is increasing on (−∞ 0) and (2 ∞), and  is decreasing on (0 2).
H.
F. Local minimum value (2) = 2 4  185, no local maximum value
G.  00 () =
=
3 [ (1) + ( − 2) ] −  ( − 2)(32 )
(3 )2
2  [( − 1) − 3( − 2)]
 (2 − 4 + 6)
=
0
6

4
for all  in the domain of  ; that is,  is CU on (−∞ 0) and (0 ∞). No IP
49.  =  () = ln(sin )
A.  = { in  | sin   0} =
∞

=−∞
(2 (2 + 1) ) = · · · ∪ (−4 −3) ∪ (−2 −) ∪ (0 ) ∪ (2 3) ∪ · · ·
B. No ­intercept; ­intercepts:  () = 0 ⇔ ln(sin ) = 0 ⇔ sin  = 0 = 1 ⇔
integer .
C.  is periodic with period 2. D.
lim
→(2)+
 () = −∞ and
lim
→[(2+1)]−
 = 2 +

2
for each
() = −∞, so the lines
cos 
= cot , so  0 ()  0 when 2    2 + 2 for each
sin 


   (2 + 1). Thus,  is increasing on 2 2 + 2 and
 =  are VAs for all integers . E.  0 () =
integer , and  0 ()  0 when 2 + 2


decreasing on 2 + 2  (2 + 1) for each integer .


F. Local maximum values  2 + 2 = 0, no local minimum.
H.
G.  00 () = − csc2   0, so  is CD on (2 (2 + 1)) for
each integer  No IP
50.  =  () = ln(1 + 3 )
A. 1 + 3  0 ⇔ 3  −1 ⇔   −1, so  = (−1 ∞). B. ­intercept:
 (0) = ln 1 = 0; ­intercept:  () = 0 ⇔ ln(1 + 3 ) = 0 ⇔ 1 + 3 = 0
symmetry D.
lim  () = −∞, so  = −1 is a VA E.  0 () =
→−1+
⇔ 3 = 0 ⇔  = 0 C. No
32
.  0 ()  0 on (−1 0) and (0 ∞)
1 + 3
[ 0 () = 0 at  = 0], so by Exercise 4.3.97,  is increasing on (−1 ∞). F. No extreme values
G.  00 () =
(1 + 3 )(6) − 32 (32 )
(1 + 3 )2
401
H.
3[2(1 + 3 ) − 33 ]
3(2 − 3 )
=
(1 + 3 )2
(1 + 3 )2
√
 √ 
 00 ()  0 ⇔ 0    3 2, so  is CU on 0 3 2 and  is CD on (−1 0)
√

√

and 3 2 ∞ . IP at (0 0) and 3 2 ln 3
=
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
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¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
51.  =  () = −1
A.  = (−∞ 0) ∪ (0 ∞) B. No intercept C. No symmetry
−1 H
−1 (12 )
= lim
= − lim −1 = −∞, so  = 0 is a VA. Also, lim −1 = 0, so the graph
−12
→0− 1
→0−
→0−
→0+
 


+1
1
−1
−1 1
approaches the origin as  → 0+ . E.  0 () = −1
+

+
1
= 1  0 ⇔
(1)
=

2


D. lim
  −1 or   0, so  is increasing on (−∞ −1) and (0 ∞), and  is decreasing on (−1 0).
F. Local maximum value  (−1) = −, no local minimum value


1
+1
⇒
G.  0 () = −1


 
 

1
1
1
+ 1 −1
 00 () = −1 − 2 +


2



1
1
1
+1
= 3 1  0 ⇔
= 2 −1 −1 +


 
H.
  0, so  is CU on (0 ∞) and CD on (−∞ 0). No IP
52.  =  () =
ln 
2
A.  = (0 ∞) B. ­intercept: none; ­intercept:  () = 0 ⇔ ln  = 0 ⇔  = 1
C. No symmetry D. lim () = −∞, so  = 0 is a VA; lim
→∞
→0+
ln  H
1
= 0, so  = 0 is a HA.
= lim
→∞ 2
2
2 (1) − (ln )(2)
(1 − 2 ln )
1 − 2 ln  0
=
=
.  ()  0 ⇔ 1 − 2 ln   0 ⇔ ln  
(2 )2
4
3
 √ 
√

0    12 and  0 ()  0 ⇒   12 , so  is increasing on 0  and decreasing on
 ∞ .
E.  0 () =
F. Local maximum value  (12 ) =
G.  00 () =
=
1
12
=

2
1
2
⇒
H.
3 (−2) − (1 − 2 ln )(32 )
(3 )2
2 [−2 − 3(1 − 2 ln )]
−5 + 6 ln 
=
6
4
 00 ()  0 ⇔ −5 + 6 ln   0 ⇔ ln  
5
6
⇒   56 [  is CU]
and  00 ()  0 ⇔ 0    56 [  is CD]. IP at (56  5(653 ))
53.  =  () = arctan 
C. No symmetry D.
0
HA. E.  () = 
A.  =  B. ­intercept:  (0) = 0 = 1; no ­intercept since arctan  is positive for all .
lim  () = −2 [≈ 021], so  = −2 is a HA.
→−∞
arctan 

lim  () = 2 [≈ 481], so  = 2 is a
→∞

1
.  0 ()  0 for all , so  is increasing on . F. No local extrema
1 + 2
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.5 SUMMARY OF CURVE SKETCHING
(1 + 2 )arctan 
00
G.  () =
=


1
− arctan  (2)
1 + 2
(1 + 2 )2
¤
403
H.
arctan  (1 − 2)
(1 + 2 )2




 00 ()  0 for   12 , so  is CU on −∞ 12 and  is CD on 12  ∞ .


IP at 12  arctan 12 ≈ (05 159)
54.  =  () = tan−1

−1
+1

A.  = { |  6= −1} B. ­intercept = 1, ­intercept = (0) = tan−1 (−1) = − 4

E.  0 () =
lim tan−1
−1
+1


1 − 1
→±∞
→±∞
1 + 1




−1
−1


= − and lim tan−1
= .
Also lim tan−1
+1
2
+1
2
→−1+
→−1−
C. No symmetry D.
= lim tan−1

= tan−1 1 =

,
4
so  =

4
is a HA.
1
2
1
( + 1) − ( − 1)
 0,
=
= 2
1 + [( − 1)( + 1)]2
( + 1)2
( + 1)2 + ( − 1)2
 +1
so  is increasing on (−∞ −1) and (−1 ∞)  F. No extreme values
H.

2
G.  00 () = −2 2 + 1  0 ⇔   0, so  is CU on (−∞ −1)


and (−1 0), and CD on (0 ∞). IP at 0 − 4
55. () =

()
1
 0 ()
(a) The domain of  consists of all  such that  () ≥ 0, so  has domain (−∞ 7].  0 () = 
·  0 () = 
.
2  ()
2  ()
Since  0 (3) does not exist,  0 (3) does not exist. (Note that  (7) = 0, but 7 is an endpoint of the domain of .) The domain
of  0 is (−∞ 3) ∪ (3 7).
(b)  0 () = 0 ⇒  0 () = 0 on the domain of 
⇒  = 5 [there is a horizontal tangent line there]. From part (a),  0 (3)
does not exist. So the critical numbers of  are 3 and 5.
 0 ()
 0 (6)
−2
1
(c) From part (a), 0 () = 
.  0 (6) = 
 √ = − √  −058.
2 3
3
2  ()
2  (6)
(d) lim () = lim
→−∞
56. () =

3
 ()
→−∞

√
√
 () = 2, so  = 2 is a horizontal asymptote. No VA
(a) Since the cube­root function is defined for all reals, the domain of  equals the domain of , (−∞ ∞).
 0 ()
1
0
0
0
0
 0 () =  
2 ·  () =  
2 . Since  (3) does not exist and  (7) = 0,  (3) and  (7) do not exist.
3
3
3
 ()
3
()
The domain of  0 is (−∞ 3) ∪ (3 7) ∪ (7 ∞).
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
404
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
(b)  0 () = 0 ⇒  0 () = 0 ⇒  = 5 or  = 9 [there are horizontal tangent lines there]. From part (a), 0 () does not
exist at  = 3 and  = 7. So the critical numbers of  are 3, 5, 7, and 9.
 0 ()
 0 (6)
−2
2
0
(c) From part (a), 0 () =  
2 .  (6) =  
2   √
2 = − 53  −032.
3
3
3
3
3
3
3
 ()
3
 (6)
(d) lim () = lim
→−∞
→−∞


√
√
√
3
 () = 3 2 and lim () = lim 3  () = 3 −1 = −1, so  = 3 2 and  = −1 are
→∞
→∞
horizontal asymptotes. No VA
57. () = |()|
(a) Since the absolute­value function is defined for all reals, the domain of  equals the domain of  , (−∞ ∞). The domain
of 0 equals the domain of  0 except for any values of  such that both  () = 0 and  0 () 6= 0.  0 (3) does not exist,
 (7) = 0, and  0 (7) 6= 0. Thus, the domain of 0 is (−∞ 3) ∪ (3 7) ∪ (7 ∞).
(b)  0 () = 0 ⇒  0 () = 0 ⇒  = 5 or  = 9 [there are horizontal tangent lines there]. From part (a), 0 does not
exist at  = 3 and  = 7. So the critical numbers of  are 3, 5, 7, and 9.
(c) Since  is positive near  = 6, () = | ()| =  () near 6, so 0 (6) =  0 (6)  −2.
(d) lim () = lim | ()| = |2| = 2 and lim () = lim | ()| = |−1| = 1, so  = 2 and  = 1 are horizontal
→−∞
→−∞
→∞
→∞
asymptotes. No VA
58. () = 1()
(a) The domain of  consists of all  such that () 6= 0, so  has domain (−∞ 7) ∪ (7 ∞). () =
 0 () = −1[ ()]−2 ·  0 () = −
1
= [ ()]−1
 ()
⇒
 0 ()
. The domain of  0 will equal the domain of  except for any values of  such that
[ ()]2
 () = 0.  0 (3) does not exist, and  (7) = 0. Thus, the domain of  0 is (−∞ 3) ∪ (3 7) ∪ (7 ∞).
(b)  0 () = 0 ⇒  0 () = 0 ⇒  = 5 or  = 9 [there are horizontal tangent lines there]. From part (a), 0 does not
exist at  = 3 and  = 7. So the critical numbers of  are 3, 5, 7, and 9.
(c) From part (a), 0 () = −
(d) lim () = lim
→−∞
→−∞
asymptotes. lim
→7−
 0 ()
 0 (6)
. 0 (6) = −
−
2
[ ()]
[ (6)]2

−2
32

=
2
.
9
1
1
1
1
1
= and lim () = lim
=
= −1, so  = and  = −1 are horizontal
→∞
→∞ ()
 ()
2
−1
2
1
1
1
1
=
= ∞ and lim () = lim
=
= −∞, so  = 7 is a vertical
 ()
lim  ()
lim  ()
→7+
→7+ ()
→7−
→7+
asymptote.
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°
SECTION 4.5 SUMMARY OF CURVE SKETCHING
¤
405
0
. The m­intercept is  (0) = 0 . There are no ­intercepts. lim  () = ∞, so  =  is a VA.
→−
1 −  2 2
59.  = () = 
0 
0 
0 
= 2 2
= 2
 0, so  is
2 32
2 (1 −  2 2 )32
(
−  2 )32
 ( −  )
3
increasing on (0 ). There are no local extreme values.
 0 () = − 12 0 (1 −  2 2 )−32 (−22 ) =
 00 () =
=
(2 −  2 )32 (0 ) − 0  · 32 (2 −  2 )12 (−2)
[(2 −  2 )32 ]2
0 (2 −  2 )12 [(2 −  2 ) + 3 2 ]
0 (2 + 2 2 )
=
 0,
2
2
3
( −  )
(2 −  2 )52
so  is CU on (0 ). There are no inflection points.
60. Let  =
20 4

and  =   , so the equation can be written as  =  () =  + 2 =
2 2

2 + 
=
2

2 + 
= ∞, so  = 0 is a VA.

→0+



√
√
2 + 
2 + 
 + 2
= lim
= lim
= , so  =  = 0 2 is a HA.
lim
→∞
→∞
→∞


1

2 + 
.

lim
 0 () =
 · 12 (2 + )−12 (2) − (2 + )12 (1)
(2 + )−12 [2 − (2 + )]
−

=
=
 0,
2
2
2

2 + 
so  is decreasing on (0 ∞). Using the Reciprocal Rule,
 00 () =  ·
=
2 · 12 (2 + )−12 (2) + (2 + )12 (2)
 
2
2 2 + 
(2 + )−12 [2 + 2(2 + )]
(32 + 2)
= 3
 0,
 
2
 (2 + )32
2 2 + 
so  is CU on (0 ∞). There are no extrema or inflection points. The graph
shows that as  decreases, the energy increases and as  increases, the energy
decreases. For large wavelengths, the energy is very close to the energy at rest.
61. (a) () =
1
2
⇒
1
1
=
2
1 + −
ln − = ln −1
⇔ 1 + − = 2 ⇔ − = 1
⇔ − = − ln  ⇔  =
(b) The rate of spread is given by 0 () =
⇔
− =
1

⇔
ln 
, which is when half the population will have heard the rumor.

−
. To find the greatest rate of spread, we’ll apply the First Derivative
(1 + − )2
Test to 0 () [not ()].
[0 ()]0 = 00 () =
=
(1 + − )2 (−2 − ) − − · 2(1 + − )(−− )
[(1 + − )2 ]2
(1 + − )(−− )[(1 + − ) − 2− ]
−− ()(1 − − )
2 − (− − 1)
=
=
(1 + − )4
(1 + − )3
(1 + − )3
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°
406
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
00 ()  0 ⇔ −  1 ⇔ −  ln −1
decreasing for  
⇔ 
ln 
ln 
, so 0 () is increasing for  
and 0 () is


ln 
ln 
. Thus, 0 (), the rate of spread of the rumor, is greatest at the same time,
, as when half the


population [by part (a)] has heard it.
(c) (0) =
1
and lim () = 1. The graph is shown
→∞
1+
with  = 4 and  = 12 .
62. () = (− − − ), where   0 and     0.
(0) = (1 − 1) = 0 is the only intercept.
 = 0 is a HA.  0 () = (−− + − )  0 ⇔ −  −
( − )  ln


⇔ 
⇔  − 


lim () = 0, so
→∞
⇔ (−) 


⇔
ln()
ln()
or
[call this value ].  is increasing for    and decreasing for   , so
−
−
() is a local maximum [and absolute] value.  00 () = (2 − − 2 − )  0 ⇔ 2 −  2 − ⇔
 2
 2
2


2 ln()
 −  2 ⇔ (−) 
= 2, so  is CU on (2 ∞) and
⇔ ( − )  ln
⇔ 



−
CD on (0 2). The inflection point is (2 (2)). For the graph shown,
 = 1,  = 1,  = 2,  = ln 2, () = 14 , and (2) =
3
.
16
The graph tells
us that when the drug is injected into the bloodstream, its concentration rises
rapidly to a maximum at time , then falls, reaching its maximum rate of
decrease at time 2, then continues to decrease more and more slowly,
approaching 0 as  → ∞.
63.  = −
=

 4
  3  2 2
 2 2
 +
 −
 =−
  − 2 + 2
24
12
24
24
− 2
 ( − )2 = 2 ( − )2
24
where  = −

is a negative constant and 0 ≤  ≤ . We sketch
24
 () = 2 ( − )2 for  = −1.  (0) =  () = 0.
 0 () = 2 [2( − )] + ( − )2 (2) = 2( − )[ + ( − )] = 2( − )(2 − ). So for 0    ,
 0 ()  0 ⇔ ( − )(2 − )  0 [since   0] ⇔ 2     and  0 ()  0 ⇔ 0    2.
Thus,  is increasing on (2 ) and decreasing on (0 2), and there is a local and absolute


minimum at the point (2  (2)) = 2 4 16 .  0 () = 2[( − )(2 − )] ⇒
 00 () = 2[1( − )(2 − ) + (1)(2 − ) + ( − )(2)] = 2(62 − 6 + 2 ) = 0 ⇔
√
√
6 ± 122
= 12  ± 63 , and these are the ­coordinates of the two inflection points.
=
12
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.5 SUMMARY OF CURVE SKETCHING
64.  () = −
 0 () =
¤


+
, where   0 and 0    2. For 0    2,  − 2  0, so
2
( − 2)2
2
2
−
 0 and  is increasing. lim  () = −∞ and
3
→0+
( − 2)3
lim  () = ∞, so  = 0 and  = 2 are vertical asymptotes. Notice that when the
→2−
middle particle is at  = 1, the net force acting on it is 0. When   1, the net force is
positive, meaning that it acts to the right. And if the particle approaches  = 2, the force
on it rapidly becomes very large. When   1, the net force is negative, so it acts to the
left. If the particle approaches 0, the force becomes very large to the left.
65.  =
2 + 1
. Long division gives us:
+1
−1
 + 1 2
+1
2
 +
−+1
−−1
2
2 + 1
2
2
Thus,  =  () =
=−1+
and  () − ( − 1) =
=
+1
+1
+1
2

1+
[for  6= 0] → 0 as  → ±∞.
1

So the line  =  − 1 is a slant asymptote (SA).
66.  =
43 − 102 − 11 + 1
. Long division gives us:
2 − 3
4 + 2
2
3
2
 − 3 4 − 10 − 11 + 1
43 − 122
22 − 11
22 − 6
−5 + 1
1
5
− + 2
−5 + 1
−5 + 1
43 − 102 − 11 + 1


= 4 + 2 + 2
and  () − (4 + 2) = 2
=
Thus,  =  () =
3
2 − 3
 − 3
 − 3
1−

[for  6= 0] →
67.  =
0
1
= 0 as  → ±∞. So the line  = 4 + 2 is a slant asymptote (SA).
23 − 52 + 3
. Long division gives us:
2 −  − 2
2
3
2
2 − 3
 −  − 2 2 − 5 + 3
23 − 22 − 4
−32 + 7
−32 + 3 + 6
4 − 6
Thus,  =  () =
4 − 6
4 − 6
23 − 52 + 3
= 2 − 3 + 2
and () − (2 − 3) = 2
=
2 −  − 2
 −−2
 −−2
[for  6= 0] →
= 0 as  → ±∞. So the line  = 2 − 3 is a slant asymptote (SA).
0
1
6
4
− 2


1
1
1− − 2
 
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
407
408
¤
CHAPTER 4
68.  =
APPLICATIONS OF DIFFERENTIATION
−64 + 23 + 3
. Long division gives us:
23 − 
3
4
2 −  −6 + 2
−64
Thus,  =  () =
−3 + 1
3
+3
+ 32
23 − 32
23
−
−32 +  + 3
−32 +  + 3
−64 + 23 + 3
= −3 + 1 +
and
23 − 
23 − 
1
3
3
− + 2 + 3
−32 +  + 3



 () − (−3 + 1) =
=
1
23 − 
2− 2

[for  6= 0] →
0
2
= 0 as  → ±∞. So the line  = −3 + 1
is a slant asymptote (SA).
69.  =  () =
1
2
=+1+
−1
−1
A.  = (−∞ 1) ∪ (1 ∞) B. ­intercept:  () = 0 ⇔  = 0;
­intercept: (0) = 0 C. No symmetry D. lim  () = −∞ and lim () = ∞, so  = 1 is a VA.
→1−
lim [ () − ( + 1)] = lim
→±∞
→±∞
E.  0 () = 1 −
→1+
1
= 0, so the line  =  + 1 is a SA.
−1
1
( − 1)2 − 1
2 − 2
( − 2)
=
=
=
 0 for
2
2
( − 1)
( − 1)
( − 1)2
( − 1)2
H.
  0 or   2, so  is increasing on (−∞ 0) and (2 ∞), and  is decreasing
on (0 1) and (1 2). F. Local maximum value  (0) = 0, local minimum value
 (2) = 4 G.  00 () =
2
 0 for   1, so  is CU on (1 ∞) and 
( − 1)3
is CD on (−∞ 1). No IP
3
1 + 5 − 22
= −2 + 1 +
A.  = (−∞ 2) ∪ (2 ∞) B. ­intercepts:  () = 0 ⇔
−2
−2
√
−5 ± 33
1 + 5 − 22 = 0 ⇒  =
⇒   −019, 269; ­intercept: (0) = − 12 C. No symmetry
−4
70.  =  () =
D. lim  () = −∞ and lim  () = ∞, so  = 2 is a VA.
→2−
→2+
lim [() − (−2 + 1)] = lim
→±∞
→±∞
 = −2 + 1 is a SA.
E.  0 () = −2 −
=
3
−2(2 − 4 + 4) − 3
=
2
( − 2)
( − 2)2
3
= 0, so
−2
H.
−22 + 8 − 11
0
( − 2)2
for  6= 2, so  is decreasing on (−∞ 2) and (2 ∞). F. No local extrema
G.  00 () =
No IP
6
 0 for   2, so  is CU on (2 ∞) and CD on (−∞ 2).
( − 2)3
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°
SECTION 4.5 SUMMARY OF CURVE SKETCHING
3 + 4
4
=+ 2
2

71.  =  () =
→0
lim [ () − ] = lim
→±∞
→±∞
8
3 − 8
=
 0 for   0 or   2, so  is increasing on
3
3
4
= 0, so  =  is a SA.
2
H.
(−∞ 0) and (2 ∞), and  is decreasing on (0 2). F. Local minimum value
 (2) = 3, no local maximum value G.  00 () =
24
 0 for  6= 0, so  is CU
4
on (−∞ 0) and (0 ∞). No IP
3
3 + 2
=−2+
( + 1)2
( + 1)2
72.  =  () =
C. No symmetry D.
A.  = (−∞ −1) ∪ (−1 ∞) B. ­intercept: 0; ­intercept: (0) = 0
lim  () = −∞ and lim  () = −∞, so  = −1 is a VA.
→−1−
→−1+
lim [ () − ( − 2)] = lim
→±∞
→±∞
3 + 2
= 0, so  =  − 2 is a SA.
( + 1)2
( + 1)2 (32 ) − 3 · 2( + 1)
2 ( + 1)[3( + 1) − 2]
2 ( + 3)
=
=
 0 ⇔   −3 or
2
2
4
[( + 1) ]
( + 1)
( + 1)3
E.  0 () =
  −1 [ 6= 0], so  is increasing on (−∞ −3) and (−1 ∞), and  is decreasing on (−3 −1).
, no local minimum
F. Local maximum value  (−3) = − 27
4
G.  00 () =
( + 1)3 (32 + 6) − (3 + 32 ) · 3( + 1)2
[( + 1)3 ]2
=
3( + 1)2 [( + 1)( + 2) − (2 + 3)]
( + 1)6
=
3(2 + 3 + 2 − 2 − 3)
6
=
0
( + 1)4
( + 1)4
H.
⇔
  0, so  is CU on (0 ∞) and  is CD on (−∞ −1) and (−1 0). IP at (0 0)
73.  =  () = 1 + 12  + −
D. No VA or HA.
1
2
 −
A.  =  B. ­intercept =  (0) = 2, no ­intercept [see part F] C. No symmetry



lim  () − 1 + 12  = lim − = 0, so  = 1 + 12  is a SA. E.  0 () =
→∞
→∞
⇔   − ln 2−1
⇔ −  ln 12
=1+
1
2
1
2
ln 2 + − ln 2 = 1 +
ln 2 +
1
2
3
2
=
no local maximum value G.  () = 
00
+
−
1
2
1
2
− −  0 ⇔
⇔   ln 2, so  is increasing on (ln 2 ∞) and decreasing
on (−∞ ln 2). F. Local and absolute minimum value
 (ln 2) = 1 +
409
√
A.  = (−∞ 0) ∪ (0 ∞) B. ­intercept:  () = 0 ⇔  = − 3 4; no ­intercept
C. No symmetry D. lim  () = ∞, so  = 0 is a VA.
E.  0 () = 1 −
¤
1
2
H.
ln 2 + (ln 2 )−1
ln 2  185,
 0 for all , so  is CU
on (−∞ ∞). No IP
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°
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
74.  =  () = 1 −  + 1+3
A.  =  B. ­intercept =  (0) = 1 + , no ­intercept [see part F]
C. No symmetry D. No VA or HA
lim [ () − (1 − )] = lim 1+3 = 0, so  = 1 −  is a SA.
→−∞
E.  0 () = −1 + 13 1+3  0 ⇔
1 1+3

3
→−∞
 1 ⇔ 1+3  3 ⇔ 1 +

 ln 3 ⇔
3
  3(ln 3 − 1)  03, so  isincreasing on (3 ln 3 − 3 ∞) and decreasing

 ln 3 − 1 ⇔
3
H.
on (−∞ 3 ln 3 − 3). F. Local and absolute minimum value
 (3 ln 3 − 3) = 1 − (3 ln 3 − 3) + 1+ln 3−1 = 4 − 3 ln 3 + 3 = 7 − 3 ln 3  37,
no local maximum value G.  00 () = 19 1+3  0 for all , so  is CU
on (−∞ ∞). No IP
75.  =  () =  − tan−1 ,  0 () = 1 −
1
1 + 2 − 1
2
=
=
,
2
2
1+
1+
1 + 2
(1 + 2 )(2) − 2 (2)
2(1 + 2 − 2 )
2
=
=
.
2
2
(1 +  )
(1 + 2 )2
(1 + 2 )2





lim  () −  − 2 = lim 2 − tan−1  = 2 − 2 = 0, so  =  −
 00 () =
→∞
→∞
Also, lim
→−∞
so  =  +

2
is a SA.







() −  + 2 = lim − 2 − tan−1  = − 2 − − 2 = 0,
→−∞

2
is also a SA.  0 () ≥ 0 for all , with equality ⇔  = 0, so  is
increasing on .  00 () has the same sign as , so  is CD on (−∞ 0) and CU on
(0 ∞).  (−) = − (), so  is an odd function; its graph is symmetric about the
origin.  has no local extreme values. Its only IP is at (0 0).
76.  =  () =

√
2 + 4 = ( + 4). ( + 4) ≥ 0 ⇔  ≤ −4 or  ≥ 0, so  = (−∞ −4] ∪ [0 ∞).
y­intercept:  (0) = 0; x­intercepts:  () = 0 ⇒  = −4, 0.
√
√
√
(2 + 4) − (2 + 4 + 4)
2 + 4 ∓ ( + 2)
2 + 4 ± ( + 2)
2
√
·√
=
 + 4 ∓ ( + 2) =
1
2 + 4 ± ( + 2)
2 + 4 ± ( + 2)
−4
= √
2 + 4 ± ( + 2)
so lim [() ∓ ( + 2)] = 0. Thus, the graph of  approaches the slant asymptote  =  + 2 as  → ∞ and it approaches
→±∞
+2
, so  0 ()  0 for   −4 and  0 ()  0 for   0;
the slant asymptote  = −( + 2) as  → −∞.  0 () = √
2 + 4
that is,  is decreasing on (−∞ −4) and increasing on (0 ∞). There are no local
extreme values.  0 () = ( + 2)(2 + 4)−12 ⇒
 
 00 () = ( + 2) · − 12 (2 + 4)−32 · (2 + 4) + (2 + 4)−12


= (2 + 4)−32 −( + 2)2 + (2 + 4) = −4(2 + 4)−32  0 on 
so  is CD on (−∞ −4) and (0 ∞). No IP
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°
SECTION 4.5 SUMMARY OF CURVE SKETCHING
77.
¤
411
2
√ 2
2
− 2 =1 ⇒  =±
 − 2 . Now
2



√


√
 2 − 2 + 



−2
√ 2
2
2
2
= · lim √
= 0,
lim
 −  −  = · lim
 − − √
→∞ 

 →∞
 →∞ 2 − 2 + 
2 − 2 + 

 is a slant asymptote. Similarly,







−2
√ 2
= − · lim √
= 0, so  = −  is a slant asymptote.
 − 2 − − 
lim −
2
→∞
→∞




 − 2 + 
which shows that  =
78.  () − 2 =
1
3 + 1
3 + 1 − 3
1
− 2 =
= , and lim
= 0 Therefore, lim [ () − 2 ] = 0,
→±∞ 
→±∞



and so the graph of  is asymptotic to that of  = 2 . For purposes of differentiation, we will use  () = 2 + 1
A.  = { |  6= 0} B. No ­intercept; to find the ­intercept, we set  = 0 ⇔  = −1
3 + 1
3 + 1
= ∞ and lim
= −∞,


→0+
→0−
so  = 0 is a vertical asymptote. Also, the graph is asymptotic to the parabola
C. No symmetry D. lim
H.
1
 = 2 , as shown above. E.  0 () = 2 − 12  0 ⇔   √
3 , so 
2




1
1
.
 ∞ and decreasing on (−∞ 0) and 0 √
is increasing on √
3
3
2
2
√


1
333
F. Local minimum value  √
, no local maximum
=
3
2
2
G.  00 () = 2 + 23  0 ⇔   −1 or   0, so  is CU on
(−∞ −1) and (0 ∞), and CD on (−1 0). IP at (−1 0)
79.


4
4 + 1
1
−
= lim
= 0, so the graph of  is asymptotic to that of  = 3 
() − 3 = lim
→±∞
→±∞ 




1
A.  = { |  6= 0} B. No intercept C.  is symmetric about the origin. D. lim 3 +
= −∞ and

→0−


1
lim 3 +
= ∞, so  = 0 is a vertical asymptote, and as shown above, the graph of  is asymptotic to that of  = 3 .

→0+




1
1
1
√
√
and
E.  0 () = 32 − 12  0 ⇔ 4  13 ⇔ ||  √
−∞
−

∞
and
4 , so  is increasing on
4
4
3
3
3




1
1
. F. Local maximum value
H.
decreasing on − √
 0 and 0 √
4
4
3
3




1
1
−54
√
 −√
=
−4
·
3
= 4 · 3−54
,
local
minimum
value

4
4
3
3
lim
→±∞
G.  00 () = 6 + 23  0 ⇔   0, so  is CU on (0 ∞) and CD
on (−∞ 0). No IP
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°
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
80.  () = sin  + − .
lim [ () − sin ] = lim − = 0, so the graph of
→∞
→∞
 is asymptotic to the graph of sin  as  → ∞.
lim − = ∞, whereas
→−∞
|sin | ≤ 1, so for large negative , the graph of  looks like the graph of − .
4.6 Graphing with Calculus and Technology
1.  () = 5 − 54 − 3 + 282 − 2
⇒  0 () = 54 − 203 − 32 + 56 − 2 ⇒  00 () = 203 − 602 − 6 + 56.
 () = 0 ⇔  = 0 or  ≈ −209, 007;  0 () = 0 ⇔  ≈ −150, 004, 262, 284;  00 () = 0 ⇔  ≈ −089,
115, 274.
From the graphs of  0 , we estimate that  0  0 and that  is decreasing on (−150 004) and (262 284), and that  0  0
and  is increasing on (−∞ −150), (004 262), and (284 ∞) with local minimum values  (004) ≈ −004 and
 (284) ≈ 5673 and local maximum values  (−150) ≈ 3647 and  (262) ≈ 5683.
From the graph of  00 , we estimate that  00  0 and that  is CU on (−089 115)
and (274 ∞), and that  00  0 and  is CD on (−∞ −089) and (115 274).
There are inflection points at about (−089 2090), (115 2657), and (274 5678).
2.  () = −26 + 55 + 1403 − 1102
⇒  0 () = −125 + 254 + 4202 − 220 ⇒
 00 () = −604 + 1003 + 840 − 220.  () = 0 ⇔  = 0 or  ≈ 077, 493;  0 () = 0 ⇔  = 0 or
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°
SECTION 4.6
GRAPHING WITH CALCULUS AND TECHNOLOGY
¤
413
 ≈ 052, 399;  00 () = 0 ⇔  ≈ 026, 305.
From the graphs of  0 , we estimate that  0  0 and that  is increasing on (−∞ 0) and (052 399), and that  0  0 and that
 is decreasing on (0 052) and (399 ∞).  has local maximum values  (0) = 0 and (399) ≈ 412820, and  has local
minimum value  (052) ≈ −991. From the graph of  00 , we estimate that  00  0 and  is CU on (026 305), and that
 00  0 and  is CD on (−∞ 026) and (305 ∞). There are inflection points at about (026 −497) and (305 264946).
3.  () = 6 − 55 + 253 − 62 − 48
⇒
 0 () = 65 − 254 + 752 − 12 − 48 ⇒
 00 () = 304 − 1003 + 150 − 12.  () = 0 ⇔  = 0 or  ≈ 320;
 0 () = 0 ⇔  ≈ −131, −084, 106, 250, 275;  00 () = 0 ⇔
 ≈ −110, 008, 172, 264.
From the graph of  0 , we estimate that  is decreasing on (−∞ −131), increasing
on (−131 −084), decreasing on (−084 106), increasing on (106 250),
decreasing on (250 275), and increasing on (275 ∞).  has local minimum
values (−131) ≈ 2072, (106) ≈ −3312, and  (275) ≈ −1133.  has
local maximum values  (−084) ≈ 2371 and  (250) ≈ −1102.
From the graph of  00 , we estimate that  is CU on (−∞ −110), CD on
(−110 008), CU on (008 172), CD on (172 264), and CU on (264 ∞). There
are inflection points at about (−110 2209), (008 −388), (172 −2253), and
(264 −1118).
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°
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¤
CHAPTER 4
4.  () =
APPLICATIONS OF DIFFERENTIATION
4 − 3 − 8
2 −  − 6
 00 () =
⇒  0 () =
2(5 − 24 − 113 + 92 + 8 − 4)
(2 −  − 6)2
⇒
2(6 − 35 − 154 + 413 + 1742 − 84 − 56
. () = 0 ⇔  ≈ −148 or  = 2;  0 () = 0 ⇔
(2 −  − 6)3
 ≈ −274, −081, 041, 108, 406;  00 () = 0 ⇔  ≈ −039, 079. The VAs are  = −2 and  = 3.
From
the graphs of  0 , we estimate that  is decreasing on (−∞ −274), increasing on (−274 −2), increasing on (−2 −081),
decreasing on (−081 041), increasing on (041 108), decreasing on (108 3), decreasing on (3 406), and increasing on
(406 ∞).  has local minimum values  (−274) ≈ 1623,  (041) ≈ 129, and  (406) ≈ 3063.
 has local maximum values (−081) ≈ 155 and  (108) ≈ 134.
From the graphs of  00 , we estimate that  is CU on (−∞ −2), CD on (−2 −039), CU on (−039 079), CD on
(079 3), and CU on (3 ∞). There are inflection points at about (−039 145) and (079 131).
5.  () =
3

+ 2 + 1
⇒  0 () = −
23 + 2 − 1
(3 + 2 + 1)2
⇒  00 () =
2(34 + 33 + 2 − 6 − 3)
(3 + 2 + 1)3
From the graph of  , we see that there is a VA at   −147. From the graph of  0 , we estimate that  is increasing on
(−∞ −147), increasing on (−147 066), and decreasing on (066 ∞), with local maximum value (066)  038.
From the graph of  00 , we estimate that  is CU on (−∞ −147), CD on (−147 −049), CU on (−049 0), CD on
(0 110), and CU on (110 ∞). There is an inflection point at (0 0) and at about (−049 −044) and (110 031).
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°
SECTION 4.6
6.  () = 6 sin  − 2 , −5 ≤  ≤ 3
GRAPHING WITH CALCULUS AND TECHNOLOGY
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415
⇒  0 () = 6 cos  − 2 ⇒  00 () = −6 sin  − 2
From the graph of  0 , which has two negative zeros, we estimate that  is increasing on (−5 −294), decreasing on
(−294 −266), increasing on (−266 117), and decreasing on (117 3), with local maximum values  (−294)  −984
and  (117)  416, and local minimum value  (−266)  −985.
From the graph of  00 , we estimate that  is CD on (−5 −280), CU on (−280 −034), and CD on (−034 3). There are
inflection points at about (−280 −985) and (−034 −212).
7.  () = 6 sin  + cot , − ≤  ≤ 
⇒  0 () = 6 cos  − csc2  ⇒  00 () = −6 sin  + 2 csc2  cot 
From the graph of  , we see that there are VAs at  = 0 and  = ±.  is an odd function, so its graph is symmetric about
the origin. From the graph of  0 , we estimate that  is decreasing on (− −140), increasing on (−140 −044), decreasing
on (−044 0), decreasing on (0 044), increasing on (044 140), and decreasing on (140 ), with local minimum values
 (−140)  −609 and (044)  468, and local maximum values  (−044)  −468 and  (140)  609.
From the graph of  00 , we estimate that  is CU on (− −077), CD on (−077 0), CU on (0 077), and CD on
(077 ). There are IPs at about (−077 −522) and (077 522).
8.  () =  − 01864
⇒  0 () =  − 07443
⇒  00 () =  − 22322
From the graph of  0 , which has two positive zeros, we estimate that  is increasing on (−∞ 2973), decreasing on
(2973 3027), and increasing on (3027 ∞), with local maximum value  (2973)  501958 and local minimum value
 (3027)  501949.
From the graph of  00 , we estimate that  is CD on (−∞ −052), CU on (−052 125), CD on (125 300), and CU
on (300 ∞). There are inflection points at about (−052 058), (125 304) and (300 501954).
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°
416
¤
CHAPTER 4
9.  () = 1 +
APPLICATIONS OF DIFFERENTIATION
8
1
1
+ 2 + 3



⇒  0 () = −
1
16
3
1
− 3 − 4 = − 4 (2 + 16 + 3) ⇒
2



2
48
12
2
+ 4 + 5 = 5 (2 + 24 + 6).
3



 00 () =
From the graphs, it appears that  increases on (−158 −02) and decreases on (−∞ −158), (−02 0), and (0 ∞); that 
has a local minimum value of (−158) ≈ 097 and a local maximum value of (−02) ≈ 72; that  is CD on (−∞ −24)
and (−025 0) and is CU on (−24 −025) and (0 ∞); and that  has IPs at (−24 097) and (−025 60).
√
√
−16 ± 256 − 12
= −8 ± 61 [≈ −019 and −1581].
To find the exact values, note that  0 = 0 ⇒  =
2
√
√ 
√ 


0
 is positive ( is increasing) on −8 − 61 −8 + 61 and  0 is negative ( is decreasing) on −∞ −8 − 61 ,
√
√
√


−24 ± 576 − 24
−8 + 61 0 , and (0 ∞).  00 = 0 ⇒  =
= −12 ± 138 [≈ −025 and −2375].  00 is
2
√
√
√




positive ( is CU) on −12 − 138 −12 + 138 and (0 ∞) and  00 is negative ( is CD) on −∞ −12 − 138
√


and −12 + 138 0 .
10.  () =
1

− 4
8

 0 () = −
[ = 2 × 108 ] ⇒
8
4
4
+ 5 = − 9 (2 − 4 ) ⇒
9


72
20
4
− 6 = 10 (18 − 54 ).
10


 00 () =
From the graph, it appears that  increases on (−001 0) and (001 ∞) and decreases on (−∞ −001) and (0 001);
that  has a local minimum value of  (±001) = −1016 ; and that  is CU on (−0012 0) and (0 0012) and  is CD
on (−∞ −0012) and (0012 ∞).
To find the exact values, note that  0 = 0 ⇒ 4 =
2

⇒ ±

4
2

1
= ± 100
[ = 2 × 108 ].  0 is positive
( is increasing) on (−001 0) and (001 ∞) and  0 is negative ( is decreasing) on (−∞ −001) and (0 001).

 1 √

1 √
18
18
4
4
00
4
⇒ =±4
=±
18 [≈ ±00116].  00 is positive ( is CU) on − 100
18 0
 =0 ⇒  =
5
5
100
√ 


 1 √

 1 √
4
4
1 4
18 and  00 is negative ( is CD) on −∞ − 100
18 and 100
18 ∞ .
and 0 100
11. (a)  () = 2 ln . The domain of  is (0 ∞).
(b) lim 2 ln  = lim
→0+
→0+
 2
ln  H
1

=
lim
=
lim
−
= 0.
3
12
2
→0+ −2
→0+
There is a hole at (0 0).
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°
SECTION 4.6
GRAPHING WITH CALCULUS AND TECHNOLOGY
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417
(c) It appears that there is an IP at about (02 −006) and a local minimum at (06 −018).  () = 2 ln  ⇒
 0 () = 2 (1) + (ln )(2) = (2 ln  + 1)  0 ⇔ ln   − 12 ⇔   −12 , so  is increasing on


 √ 
 √
√ 
1  ∞ , decreasing on 0 1  . By the FDT,  1  = −1(2) is a local minimum value. This point is
approximately (06065 −01839), which agrees with our estimate.
 00 () = (2) + (2 ln  + 1) = 2 ln  + 3  0 ⇔ ln   − 32
⇔   −32 , so  is CU on (−32  ∞)
and CD on (0 −32 ). IP is (−32  −3(23 )) ≈ (02231 −00747).
12. (a)  () = 1 . The domain of  is (−∞ 0) ∪ (0 ∞).
(b) lim 
1
→0+


1 −12
1 H
= lim
= lim
= lim 1 = ∞,
−12
→0+ 1
→0+
→0+
so  = 0 is a VA.
Also lim 1 = 0 since 1 → −∞ ⇒ 1 → 0.
→0−
(c) It appears that there is a local minimum at (1 27). There are no IP and  is CD on (−∞ 0) and CU on (0 ∞).




1
1
1
0 ⇔
 1 ⇔   0 or   1,
 () = 1 ⇒  0 () = 1 − 2 + 1 = 1 1 −



so  is increasing on (−∞ 0) and (1 ∞), and decreasing on (0 1). By the FDT,  (1) =  is a local minimum value,
which agrees with our estimate.
 00 () = 1 (12 ) + (1 − 1)1 (−12 ) = (1 2 )(1 − 1 + 1) = 1 3  0
⇔
  0, so  is
CU on (0, ∞) and CD on (−∞ 0). No IP
13.
 () =
( + 4)( − 3)2
has VA at  = 0 and at  = 1 since lim  () = −∞,
→0
4 ( − 1)
lim  () = −∞ and lim  () = ∞.
→1−
→1+
 + 4 ( − 3)2 

·
(1 + 4)(1 − 3)2
dividing numerator
2
 () =  4
=
→0
3
and
denominator
by

( − 1)

·
(
−
1)
3
as  → ±∞, so  is asymptotic to the ­axis.
Since  is undefined at  = 0, it has no ­intercept. () = 0 ⇒ ( + 4)( − 3)2 = 0 ⇒  = −4 or  = 3, so  has
­intercepts −4 and 3. Note, however, that the graph of  is only tangent to the ­axis and does not cross it at  = 3, since  is
positive as  → 3− and as  → 3+ .
From these graphs, it appears that  has three maximum values and one minimum value. The maximum values are
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
approximately  (−56) = 00182,  (082) = −2815 and (52) = 00145 and we know (since the graph is tangent to the
­axis at  = 3) that the minimum value is (3) = 0.
14.
 () =
(2 + 3)2 ( − 2)5
has VAs at  = 0 and  = 5 since lim  () = ∞,
3 ( − 5)2
→0−
lim  () = −∞, and lim () = ∞. No HA since lim  () = ∞.
→0+
→5
→±∞
Since  is undefined at  = 0, it has no ­intercept.
 () = 0 ⇔ (2 + 3)2 ( − 2)5 = 0 ⇔  = − 32 or  = 2, so 
has ­intercepts at − 32 and 2. Note, however, that the graph of  is only tangent to
 −
and
the ­axis and does not cross it at  = − 32 , since  is positive as  → − 32
 3 +
 3
as  → − 2 . There is a local minimum value of  − 2 = 0.
The only “mystery” feature is the local minimum to the right of the VA
 = 5. From the graph, we see that  (798) ≈ 609 is a local minimum
value.
15.  () =
2 ( + 1)3
( − 2)2 ( − 4)4
⇒  0 () = −
( + 1)2 (3 + 182 − 44 − 16)
( − 2)3 ( − 4)5
[from CAS].
From the graphs of  0 , it seems that the critical points which indicate extrema occur at  ≈ −20, −03, and 25, as estimated
in Example 3. (There is another critical point at  = −1, but the sign of  0 does not change there.) We differentiate again,
obtaining  00 () = 2
( + 1)(6 + 365 + 64 − 6283 + 6842 + 672 + 64)
.
( − 2)4 ( − 4)6
From the graphs of  00 , it appears that  is CU on (−353 −50), (−1 −05), (−01 2), (2 4), and (4 ∞) and CD
on (−∞ −353), (−50 −1) and (−05 −01). We check back on the graphs of  to find the ­coordinates of the
inflection points, and find that these points are approximately (−353 −0015), (−50 −0005), (−1 0), (−05 000001),
and (−01 00000066).
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°
SECTION 4.6
16. From a CAS,
and
GRAPHING WITH CALCULUS AND TECHNOLOGY
 0 () =
2( − 2)4 (2 + 3)(23 − 142 − 10 − 45)
4 ( − 5)3
 00 () =
2( − 2)3 (46 − 565 + 2164 + 4603 + 8052 + 1710 + 5400)
5 ( − 5)4
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419
From Exercise 14 and  0 () above, we know that the zeros of  0 are −15, 2,
and 798. From the graph of  0 , we conclude that  is decreasing on (−∞ −15),
increasing on (−15 0) and (0 5), decreasing on (5 798), and increasing
on (798 ∞).
From  00 (), we know that  = 2 is a zero, and the graph of  00 shows us that
 = 2 is the only zero of  00 . Thus,  is CU on (−∞ 0), CD on (0 2), CU on
(2 5), and CU on (5 ∞).
17.  () =
3 + 52 + 1
−(5 + 104 + 63 + 42 − 3 − 22)
. From a CAS,  0 () =
and
3
2
+ − +2
(4 + 3 − 2 + 2)2
4
 00 () =
2(9 + 158 + 187 + 216 − 95 − 1354 − 763 + 212 + 6 + 22)
(4 + 3 − 2 + 2)3
The first graph of  shows that  = 0 is a HA. As  → ∞,  () → 0 through positive values. As  → −∞, it is not clear if
 () → 0 through positive or negative values. The second graph of  shows that  has an ­intercept near −5, and will have a
local minimum and inflection point to the left of −5.
From the two graphs of  0 , we see that  0 has four zeros. We conclude that  is decreasing on (−∞ −941), increasing on
(−941 −129), decreasing on (−129 0), increasing on (0 105), and decreasing on (105 ∞). We have local minimum
values (−941)  −0056 and  (0) = 05, and local maximum values (−129)  749 and  (105)  235.
[continued]
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
From the two graphs of  00 , we see that  00 has five zeros. We conclude that  is CD on (−∞ −1381), CU on
(−1381 −155), CD on (−155 −103), CU on (−103 060), CD on (060 148), and CU on (148 ∞). There are five
inflection points: (−1381 −005), (−155 564), (−103 539), (060 152), and (148 193).
18.  =  () =
23
104 +  − 2
2(658 − 145 − 804 + 22 − 8 − 1)
. From a CAS,  0 = − 13 4
and  00 =
4
2
1++
3 ( +  + 1)
943 (4 +  + 1)3
 0 () does not exist at  = 0 and  0 () = 0 ⇔  ≈ −072 and 061, so  is increasing on (−∞ −072), decreasing on
(−072 0), increasing on (0 061), and decreasing on (061 ∞). There is a local maximum value of  (−072) ≈ 146 and a
local minimum value of  (061) ≈ 041.  00 () does not exist at  = 0 and  00 () = 0 ⇔  ≈ −097, −046, −012,
and 111, so  is CU on (−∞ −097), CD on (−097 −046), CU on (−046 −012), CD on (−012 0), CD on (0 111),
and CU on (111 ∞). There are inflection points at (−097 108), (−046 101), (−012 028), and (111 029).
19.  =  () =
√
 + 5 sin ,  ≤ 20.
5 cos  + 1
10 cos  + 25 sin2  + 10 sin  + 26
√
.
and  00 = −
4( + 5 sin )32
2  + 5 sin 

We’ll start with a graph of () =  + 5 sin . Note that () = () is only defined if () ≥ 0. () = 0 ⇔  = 0
From a CAS,  0 =
or  ≈ −491, −410, 410, and 491. Thus, the domain of  is [−491 −410] ∪ [0 410] ∪ [491 20].
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 
From the expression for  0 , we see that  0 = 0 ⇔ 5 cos  + 1 = 0 ⇒ 1 = cos−1 − 15 ≈ 177 and
2 = 2 − 1 ≈ −451 (not in the domain of  ). The leftmost zero of  0 is 1 − 2 ≈ −451. Moving to the right, the
zeros of  0 are 1 , 1 + 2, 2 + 2, 1 + 4, and 2 + 4. Thus,  is increasing on (−491 −451), decreasing on
(−451 −410), increasing on (0 177), decreasing on (177 410), increasing on (491 806), decreasing on (806 1079),
increasing on (1079 1434), decreasing on (1434 1708), and increasing on (1708 20). The local maximum values are
 (−451) ≈ 062,  (177) ≈ 258,  (806) ≈ 360, and (1434) ≈ 439. The local minimum values are  (1079) ≈ 243
and  (1708) ≈ 349.
 is CD on (−491 −410), (0 410), (491 960), CU on (960 1225),
CD on (1225 1581), CU on (1581 1865), and CD on (1865 20). There are
inflection points at (960 295), (1225 327), (1581 391), and (1865 420).
20.  =  () =  − tan−1 2 . From a CAS,  0 =
4 − 2 + 1
2(34 − 1)
and  00 =
.  0 = 0 ⇔  ≈ 054 or  = 1.
4
 +1
(4 + 1)2
 00 = 0 ⇔  ≈ ±076.
From the graphs of  and  0 , we estimate that  is increasing on (−∞ 054), decreasing on (054 1), and increasing on
(1 ∞).  has local maximum value  (054) ≈ 026 and local minimum value  (1) ≈ 021.
From the graph of  00 , we estimate that  is CU on (−∞ −076), CD on (−076 076), and CU on (076 ∞). There are
inflection points at about (−076 −128) and (076 024).
21.  =  () =
1 − 1
21
−21 (1 − 1 + 2 + 21 )
0
00
.
From
a
CAS,

=
and

=
.
1 + 1
2 (1 + 1 )2
4 (1 + 1 )3
 is an odd function defined on (−∞ 0) ∪ (0 ∞). Its graph has no x­ or y­intercepts. Since lim  () = 0, the x­axis
→±∞
is a HA.  0 ()  0 for  6= 0, so  is increasing on (−∞ 0) and (0 ∞). It has no local extreme values.
 00 () = 0 for  ≈ ±0417, so  is CU on (−∞ −0417), CD on (−0417 0), CU on (0 0417), and CD on (0417 ∞).
 has IPs at (−0417 0834) and (0417 −0834).
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CHAPTER 4
22.  =  () =
APPLICATIONS OF DIFFERENTIATION
3
6 cos 
6(2 sin2  + 4 cos2  + 3 sin )
. From a CAS,  0 = −
and  00 =
. Since  is
2
3 + 2 sin 
(3 + 2 sin )
(3 + 2 sin )3
periodic with period 2, we’ll restrict our attention to the interval [0 2).  0 = 0 ⇔ 6 cos  = 0 ⇔  =

2
or
3
2 .
 00 = 0 ⇔  ≈ 416 or 527.






, and decreasing on 3
From the graphs of  and  0 , we conclude that  is decreasing on 0 2 , increasing on 2  3
 2 .
2
2
 
 
 has local minimum value  2 = 35 and local maximum value  3
= 3.
2
From the graph of  00 , we conclude that  is CU on (0 416), CD on (416 527), and CU on (527 2). There are
inflection points at about (416 231) and (527 231).
23.  () =
1 − cos(4 )
≥ 0.  is an even function, so its graph is symmetric with respect to the ­axis. The first graph shows
8
that  levels off at  =
1
2
for ||  07. It also shows that  then drops to the ­axis. Your graphing utility may show some
severe oscillations near the origin, but there are none. See the discussion in Section 2.2 after Example 2, as well as “Lies My
Calculator and Computer Told Me” on the website.
The second graph indicates that as || increases,  has progressively smaller humps.
24.  () =  + ln | − 4|.
The first graph shows the big picture of  but conceals hidden behavior.
The second graph shows that for large negative values of ,  looks like () = ln ||. It also shows a minimum value and
a point of inflection.
The third graph hints at the vertical asymptote that we know exists at  = 4 because lim ( + ln | − 4|) = −∞.
→4
A graphing calculator is unable to show much of the dip of the curve toward the vertical asymptote because of limited
resolution. A computer can show more if we restrict ourselves to a narrow interval around  = 4. See the solution to
Exercise 2.2.46 for a hand­drawn graph of this function.
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25. (a)  () = 1
(b) Recall that  =  ln  . lim 1 = lim (1) ln  . As  → 0+ ,
→0+
→0+
ln 
→ −∞, so 1 = (1) ln  → 0. This

indicates that there is a hole at (0 0). As  → ∞, we have the indeterminate form ∞0 . lim 1 = lim (1) ln  ,
→∞
but lim
→∞
→∞
ln  H
1
= 0, so lim 1 = 0 = 1. This indicates that  = 1 is a HA.
= lim
→∞ 1
→∞

(c) Estimated maximum: (272 145). No estimated minimum. We use logarithmic differentiation to find any critical




0
1 1
1
1
1 − ln 
= · + (ln ) − 2
numbers.  = 1 ⇒ ln  = lnx ⇒
⇒  0 = 1
=0 ⇒


 

2
ln  = 1 ⇒  = . For 0    ,  0  0 and for   ,  0  0, so  () = 1 is a local maximum value. This
point is approximately (27183 14447), which agrees with our estimate.
From the graph, we see that  00 () = 0 at  ≈ 058 and  ≈ 437. Since  00
(d)
changes sign at these values, they are ­coordinates of inflection points.
26. (a)  () = (sin )sin  is continuous where sin   0, that is, on intervals
of the form (2 (2 + 1)), so we have graphed  on (0 ).
(b)  = (sin )sin 
⇒ ln  = sin  ln sin , so
lim ln  = lim sin  ln sin  = lim
→0+
→0+
→0+
= lim (− sin ) = 0
→0+
⇒
ln sin  H
cot 
= lim
csc 
→0+ − csc  cot 
lim  = 0 = 1
→0+
(c) It appears that we have a local maximum at (157 1) and local minima at (038 069) and (276 069).
 = (sin )sin 
⇒ ln  = sin  ln sin  ⇒
 cos  
0
= (sin )
+ (ln sin ) cos  = cos  (1 + ln sin ) ⇒

sin 
 0 = (sin )sin  (cos )(1 + ln sin ).  0 = 0 ⇒ cos  = 0 or ln sin  = −1 ⇒ 2 =
On (0 ), sin  = −1

2
or sin  = −1 .
⇒ 1 = sin−1 (−1 ) and 3 =  − sin−1 (−1 ). Approximating these points gives us
(1   (1 )) ≈ (03767 06922), (2  (2 )) ≈ (15708 1), and (3   (3 )) ≈ (27649 06922). The approximations
confirm our estimates.
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(d)
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
From the graph, we see that  00 () = 0 at  ≈ 094 and  ≈ 220.
Since  00 changes sign at these values, they are x­coordinates of inflection
points.
27.
From the graph of  () = sin( + sin 3) in the viewing rectangle [0 ] by [−12 12], it looks like  has two maxima
and two minima. If we calculate and graph  0 () = [cos( + sin 3)] (1 + 3 cos 3) on [0 2], we see that the graph of  0
appears to be almost tangent to the ­axis at about  = 07. The graph of
 00 = − [sin( + sin 3)] (1 + 3 cos 3)2 + cos( + sin 3)(−9 sin 3)
is even more interesting near this ­value: it seems to just touch the ­axis.
If we zoom in on this place on the graph of  00 , we see that  00 actually does cross the axis twice near  = 065,
indicating a change in concavity for a very short interval. If we look at the graph of  0 on the same interval, we see that it
changes sign three times near  = 065, indicating that what we had thought was a broad extremum at about  = 07 actually
consists of three extrema (two maxima and a minimum). These maximum values are roughly  (059) = 1 and  (068) = 1,
and the minimum value is roughly  (064) = 099996. There are also a maximum value of about  (196) = 1 and minimum
values of about  (146) = 049 and  (273) = −051. The points of inflection on (0 ) are about (061 099998),
(066 099998), (117 072), (175 077), and (228 034). On ( 2), they are about (401 −034), (454 −077),
(511 −072), (562 −099998), and (567 −099998). There are also IP at (0 0) and ( 0). Note that the function is odd
and periodic with period 2, and it is also rotationally symmetric about all points of the form ((2 + 1) 0),  an integer.
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°
SECTION 4.6
28.  () = 3 +  = (2 + )
GRAPHING WITH CALCULUS AND TECHNOLOGY
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425
⇒  0 () = 32 +  ⇒  00 () = 6
 = −6
=0
=6
√
­intercepts: When  ≥ 0, 0 is the only ­intercept. When   0, the ­intercepts are 0 and ± −.
­intercept =  (0) = 0.  is odd, so the graph is symmetric with respect to the origin.  00 ()  0 for   0 and
 00 ()  0 for   0, so  is CD on (−∞ 0) and CU on (0 ∞)  The origin is the only inflection point.
If   0, then  0 ()  0 for all , so  is increasing and has no local maximum or minimum.
and
If  = 0, then  0 () ≥ 0 with equality at  = 0, so again  is increasing and has no local maximum or minimum.








If   0, then  0 () = 3[2 − (−3)] = 3  + −3  − −3 , so  0 ()  0 on −∞ − −3

 



−3 ∞ ;  0 ()  0 on − −3 −3 . It follows that

 

 − −3 = − 23  −3 is a local maximum value and




−3 = 23  −3 is a local minimum value. As  decreases
(toward more negative values), the local maximum and minimum move
further apart.
There is no absolute maximum or minimum value. The only transitional
value of  corresponding to a change in character of the graph is  = 0.
29.  () = 2 + 6 + 
⇒  0 () = 2 + 6 − 2
⇒  00 () = 2 + 23
 = 0: The graph is the parabola  = 2 + 6, which has ­intercepts −6 and 0, vertex (−3 −9), and opens upward.
 6= 0: The parabola  = 2 + 6 is an asymptote that the graph of  approaches as  → ±∞. The ­axis is a vertical
asymptote.
  0: The ­intercepts are found by solving () = 0 ⇔ 3 + 62 +  = () = 0. Now  0 () = 0 ⇔  = −4
or 0, and  (  ) has a local maximum at  = −4. (−4) = 32 + , so if   −32, the maximum is negative and there are
no negative ­intercepts; if  = −32, the maximum is 0 and there is one negative ­intercept; if −32    0, the maximum
is positive and there are two negative ­intercepts. In all cases, there is one positive ­intercept.
As  → 0− , the local minimum point moves down and right, approaching (−3 −9). [Note that since
 0 () =
23 + 62 − 
, Descartes’ Rule of Signs implies that  0 has no positive solutions and one negative solution when
2
  0.  00 () =
2(3 + )
 0 at that negative solution, so that critical point yields a local minimum value. This tells us
3
that there are no local maximums when   0.]  0 ()  0 for   0, so  is increasing on (0 ∞). From
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CHAPTER 4
 00 () =
APPLICATIONS OF DIFFERENTIATION
√
√ 
2(3 + )
, we see that  has an inflection point at 3 − 6 3 − . This inflection point moves down and left,
3

approaching the origin as  → 0− .
√

 √ 
 is CU on (−∞ 0), CD on 0 3 − , and CU on 3 − ∞ .
√
√ 
  0: The inflection point 3 − 6 3 − is now in the third quadrant and moves up and right, approaching the origin as

√

√ 
 → 0+ .  is CU on −∞ 3 − , CD on 3 − 0 , and CU on (0 ∞).  has a local minimum point in the first
quadrant. It moves down and left, approaching the origin as  → 0+ .  0 () = 0 ⇔ 23 + 62 −  = () = 0. Now
0 () = 0 ⇔  = −2 or 0, and  (not  ) has a local maximum at  = −2. (−2) = 8 − , so  = 8 makes () = 0,
and hence,  0 () = 0. When   8,  0 ()  0 and  is decreasing on (−∞ 0). For 0    8, there is a local minimum that
moves toward (−3 −9) and a local maximum that moves toward the origin as  decreases.
≤0
30. With  = 0 in  =  () = 
≥0
√
2 − 2 , the graph of  is just the point (0 0). Since (−)2 = 2 , we only
consider   0. Since  (−) = − (), the graph is symmetric about the origin. The domain of  is found by
solving 2 − 2 ≥ 0 ⇔ 2 ≤ 2
⇔ || ≤ , which gives us [− ].
2 − 22
.
 0 () =  · 12 (2 − 2 )−12 (−2) + (2 − 2 )12 (1) = (2 − 2 )−12 [−2 + (2 − 2 )] = √
2 − 2
√
 0 ()  0 ⇔ 2 − 22  0 ⇔ 2  2 2 ⇔ ||   2, so  is increasing on
√
√ 
√ 


 √ 
− 2  2 and decreasing on − − 2 and  2  . There is a local minimum value of
√  
√ 
√  √ 


 √ 
 − 2 = − 2
2 − 2 2 = − 2  2 = −2 2 and a local maximum value of   2 = 2 2.

−12
(−2)
(2 − 2 )12 (−4) − (2 − 22 ) 12 2 − 2
 () =
[(2 − 2 )12 ]2


2 22 − 32
(2 − 2 )−12 [(2 − 2 )(−4) + (2 − 22 )]
=
=
,
(2 − 2 )1
(2 − 2 )32

so  00 () = 0 ⇔  = 0 or  = ± 32 , but only 0 is in the domain of  .
00
 00 ()  0 for 0     and  00 ()  0 for −    0, so  is CD on (0 )
and CU on (− 0). There is an IP at (0 0). So as || gets larger, the maximum and
minimum values increase in magnitude. The value of  does not affect the
concavity of  .
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°
SECTION 4.6
31.  () =  + − .  = 0
⇒ − = −
 0 () =  − − .  0 = 0 ⇒ − = 
⇒  = −2
⇒  = 2
GRAPHING WITH CALCULUS AND TECHNOLOGY
⇒ 2 = ln(−) ⇒  =
⇒ 2 = ln  ⇒  =
1
2
1
2
¤
427
ln(−)
ln .
 00 () =  + − =  ().
The only transitional value of  is 0. As  increases from −∞ to 0,
1
2
ln(−) is both the the ­intercept and inflection point,
and this decreases from ∞ to −∞. Also  0  0, so  is increasing. When  = 0,  () =  0 () =  00 () =  ,  is positive,
increasing, and concave upward. As  increases from 0 to ∞, the absolute minimum occurs at  =
1
2
ln , which increases
from −∞ to ∞. Also,  =  00  0, so  is positive and concave upward. The
value of the ­intercept is  (0) = 1 +  and this increases as  increases from
−∞ to ∞.
Note: The minimum point
=2

1
2
ln  2
√ 
 can be parameterized by  =
1
2
ln ,
√
, and after eliminating the parameter , we see that the minimum point
lies on the graph of  = 2 .
32. We see that if  ≤ 0,  () = ln(2 + ) is only defined for 2  −
lim
√
→ −+
 () =
lim
√
→− −−
⇒ || 
√
−, and
() = −∞, since ln  → −∞ as  → 0. Thus, for   0, there are vertical asymptotes at
√
 = ± , and as  decreases (that is, || increases), the asymptotes get further apart. For  = 0, lim  () = −∞, so there is
→0
a vertical asymptote at  = 0. If   0, there are no asymptotes. To find the extrema and inflection points, we differentiate:
 () = ln(2 + ) ⇒  0 () =
1
(2), so by the First Derivative Test there is a local and absolute minimum at
2 + 
 = 0. Differentiating again, we get  00 () =

 2( − 2 )
1
2
−2
(2)
+
2
−(
+
)
(2)
= 2
.
2 + 
( + )2
Now if  ≤ 0,  00 is always negative, so  is concave down on both of the intervals
on which it is defined. If   0, then  00 changes sign when  = 2 ⇔
√
√
 = ± . So for   0 there are inflection points at  = ± , and as  increases,
the inflection points get further apart.
33. Note that  = 0 is a transitional value at which the graph consists of the ­axis. Also, we can see that if we substitute − for ,
the function  () =

will be reflected in the ­axis, so we investigate only positive values of  (except  = −1, as a
1 + 2 2
demonstration of this reflective property). Also,  is an odd function.
for all . We calculate  0 () =
lim  () = 0, so  = 0 is a horizontal asymptote
→±∞
(1 + 2 2 ) − (22 )
(2 2 − 1) 0
=−
.  () = 0 ⇔ 2 2 − 1 = 0 ⇔
2
2
2
(1 +   )
(1 + 2 2 )2
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°
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
 = ±1. So there is an absolute maximum value of  (1) =
1
2
and an absolute minimum value of  (−1) = − 12 .
These extrema have the same value regardless of , but the maximum points move closer to the ­axis as  increases.
(−23 )(1 + 2 2 )2 − (−3 2 + )[2(1 + 2 2 )(22 )]
(1 + 2 2 )4
 00 () =
(−23 )(1 + 2 2 ) + (3 2 − )(42 )
23 (2 2 − 3)
=
(1 + 2 2 )3
(1 + 2 2 )3
=
√
 00 () = 0 ⇔  = 0 or ± 3, so there are inflection points at (0 0) and
√
 √

at ± 3 ± 34 . Again, the ­coordinate of the inflection points does not depend on , but as  increases, both inflection
points approach the ­axis.
34.  () =
sin 
 + cos 
⇒  0 () =
1 +  cos 
cos2  + 2 cos  + 2
⇒  00 () =
sin ( cos  − 2 + 2)
. Notice that
cos3  + 3 cos2  + 32 cos  + 3
 is an odd function and has period 2. We will graph  for 0 ≤  ≤ 2.
|c| ≤ 1: See the first figure.  has VAs when the denominator is zero, that is, at
 = cos−1 (−) and  = 2 − cos−1 (−). So for  = −1, there are VAs at
 = 0 and  = 2, and as  increases, they move closer to  = , which is the
single VA when  = 1. Note that if  = 0, then  () = tan . There are no
extreme points (on the entire domain) and inflection points occur at
multiples of .
c  1: See the second figure.  0 () = 0 ⇔  = cos−1
 = 2 − cos−1


−1


or

−1
. The VA disappears and there is now a local maximum

and a local minimum. As  → 1+ , the coordinates of the local maximum
approach  and ∞, and the coordinates of the local minimum approach 
and −∞.
As  → ∞, the graph of  looks like a graph of  = sin  that is vertically compressed, and the local maximum and local




minimum approach 2  0 and 3
 0 , respectively.
2
 00 () = 0 ⇔ sin  = 0 (IPs at  = ) or  cos  − 2 + 2 = 0. The second condition is true if cos  =
[ 6= 0]. The last equation has two solutions if −1 
2 − 2
 1 ⇒ −  2 − 2   ⇒ −  2 − 2 and

2 − 2   ⇒ 2 +  − 2  0 and 2 −  − 2  0 ⇒ ( + 2) ( − 1)  0 and ( − 2) ( + 1)  0 ⇒
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°
2 − 2

SECTION 4.6
GRAPHING WITH CALCULUS AND TECHNOLOGY
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429
 − 1  0 [since   1] and  − 2  0 ⇒   1 and   2. Thus, for 1    2, we have 2 nontrivial IPs at
 2
 2


 −2
 −2
and  = 2 − cos−1
.
 = cos−1


c  −1: See the third figure. The VAs for  = −1 at  = 0 and  = 2 in the
first figure disappear and we now have a local minimum and a local maximum.
As  → −1+ , the coordinates of the local minimum approach 0 and −∞, and
the coordinates of the local maximum approach 2 and ∞. As  → −∞, the
graph of  looks like a graph of  = sin  that is vertically compressed, and the
local minimum and local maximum approach
for −2    −1.
35.  () =  + sin 

2



 0 and 3
 0 , respectively. As above, we have two nontrivial IPs
2
⇒  0 () =  + cos  ⇒  00 () = − sin 
 (−) = − (), so  is an odd function and its graph is symmetric with respect to the origin.
 () = 0 ⇔ sin  = −, so 0 is always an ­intercept.
 0 () = 0 ⇔ cos  = −, so there is no critical number when ||  1. If || ≤ 1, then there are infinitely
many critical numbers. If 1 is the unique solution of cos  = − in the interval [0 ], then the critical numbers are 2 ± 1 ,
where  ranges over the integers. (Special cases: When  = −1, 1 = 0; when  = 0,  =

;
2
and when  = 1, 1 = .)
 00 ()  0 ⇔ sin   0, so  is CD on intervals of the form (2 (2 + 1)).  is CU on intervals of the form
((2 − 1) 2). The inflection points of  are the points ( ), where  is an integer.
If  ≥ 1, then  0 () ≥ 0 for all , so  is increasing and has no extremum. If  ≤ −1, then  0 () ≤ 0 for all , so  is
decreasing and has no extremum. If ||  1, then  0 ()  0 ⇔ cos   − ⇔  is in an interval of the form
(2 − 1  2 + 1 ) for some integer . These are the intervals on which  is increasing. Similarly, we
find that  is decreasing on the intervals of the form (2 + 1  2( + 1) − 1 ). Thus,  has local maxima at the points
√
2 + 1 , where  has the values (2 + 1 ) + sin 1 = (2 + 1 ) + 1 − 2 , and  has local minima at the points
√
2 − 1 , where we have  (2 − 1 ) = (2 − 1 ) − sin 1 = (2 − 1 ) − 1 − 2 .
The transitional values of  are −1 and 1. The inflection points move vertically, but not horizontally, when  changes.
When || ≥ 1, there is no extremum. For ||  1, the maxima are spaced
2 apart horizontally, as are the minima. The horizontal spacing between
maxima and adjacent minima is regular (and equals ) when  = 0, but
the horizontal space between a local maximum and the nearest local
minimum shrinks as || approaches 1.
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°
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
36. For  () = (− − − ),  affects only vertical stretching, so we let  = 1. From the first figure, we notice that the
graphs all pass through the origin, approach the ­axis as  increases, and approach −∞ as  → −∞. Next we let  = 2 and
produce the second figure.
Here, as  increases, the slope of the tangent at the origin increases and the local maximum value increases.
 () = −2 − −
⇒  0 () = − − 2−2 .  0 (0) =  − 2, which increases as  increases.
 0 () = 0 ⇒ − = 2−2
⇒

= (−2)
2
⇒ ln

ln  − ln 2
= ( − 2) ⇒  = 1 =
, which decreases as
2
−2
 increases (the maximum is getting closer to the ­axis).  (1 ) =
( − 2)22(−2)
. We can show that this value increases as 
1+2(−2)
increases by considering it to be a function of  and graphing its derivative with respect to , which is always positive.
37. If   0, then lim  () = lim − = lim
→−∞
→−∞
→−∞
 H
1
= lim
= 0, and lim () = ∞.
→−∞ 
→∞

H
If   0, then lim  () = −∞, and lim  () = lim
→−∞
→∞
→∞
1
= 0.

If  = 0, then  () = , so lim  () = ±∞, respectively.
→±∞
So we see that  = 0 is a transitional value. We now exclude the case  = 0, since we know how the function behaves
in that case. To find the maxima and minima of  , we differentiate:  () = −
⇒
 0 () = (−− ) + − = (1 − )− . This is 0 when 1 −  = 0 ⇔  = 1. If   0 then this
represents a minimum value of  (1) = 1(), since  0 () changes from negative to positive at  = 1;
and if   0, it represents a maximum value. As || increases, the maximum or
minimum point gets closer to the origin. To find the inflection points, we
differentiate again:  0 () = − (1 − )
00
−
 () = 
−
(−) + (1 − )(−
when  − 2 = 0
⇔
⇒
) = ( − 2)− . This changes sign
 = 2. So as || increases, the points of inflection get
closer to the origin.
38. (a)  () = 4 − 42 + 1
⇒  0 () = 43 − 8 = 4(2 − 2). If  ≤ 0, then the only real solution of  0 () = 0
is  = 0.  0 changes from positive to negative at  = 0, so  has only a maximum point in this case. If   0, then
√
√ √
√ 
√ √
 0 () = 4(2 − 2) = 4   + 2
  − 2 , and  changes from negative to positive at  = ± 2 .
Thus, if   0, the curve has minimum points.
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°
SECTION 4.6
GRAPHING WITH CALCULUS AND TECHNOLOGY
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431
 √ 4
 √ 
 √ 2
8
4
4
2
2
2
= ±
(b)  ± √
− 4 ±√
+ 1 = − + 1 = − + 1. For  = () = −22 + 1, we have






 √ 2
 √ 
4
2
2
= −2 ±
+ 1 = − + 1. Also, (0) = 1 and (0) = 1. Thus, the minimum points
 ±√



 √

4
2
± √ , − + 1 and the maximum point (0,1) of every curve in the family  () = 4 − 42 + 1 lie on the


parabola  = −22 + 1.
39. For  = 0, there is no inflection point; the curve is CU everywhere. If  increases, the curve simply becomes steeper, and there
are still no inflection points. If  starts at 0 and decreases, a slight upward bulge appears near  = 0, so that there are two
inflection points for any   0. This can be seen algebraically by calculating the second derivative:
 () = 4 + 2 +  ⇒  0 () = 43 + 2 + 1 ⇒  00 () = 122 + 2. Thus,  00 ()  0 when   0. For   0,

there are inflection points when  = ± − 16 . For  = 0, the graph has one critical number, at the absolute minimum
somewhere around  = −06. As  increases, the number of critical points does not change. If  instead decreases from 0, we
see that the graph eventually sprouts another local minimum, to the right of the origin, somewhere between  = 1 and  = 2.
Consequently, there is also a maximum near  = 0.
After a bit of experimentation, we find that at  = −15, there appear to be two critical numbers: the absolute minimum at
about  = −1, and a horizontal tangent with no extremum at about  = 05. For any  smaller than this there will be
3 critical points, as shown in the graphs with  = −3 and with  = −5.
To prove this algebraically, we calculate  0 () = 43 + 2 + 1. Now if
we substitute our value of  = −15, the formula for  0 () becomes
43 − 3 + 1 = ( + 1)(2 − 1)2 . This has a double solution at  = 12 ,
indicating that the function has two critical points:  = −1 and  = 12 , just as
we had guessed from the graph.
40. (a)  () = 23 + 2 + 2
⇒  0 () = 62 + 2 + 2 = 2(32 +  + 1).  0 () = 0 ⇔  =
So  has critical points ⇔ 2 − 12 ≥ 0 ⇔ || ≥ 2
− ±
√
2 − 12
.
6
√
√
3. For  = ±2 3,  0 () ≥ 0 on (−∞ ∞), so  0 does not
change signs at −6, and there is no extremum. If 2 − 12  0, then  0 changes from positive to negative at
√
√
− + 2 − 12
− − 2 − 12
and from negative to positive at  =
. So  has a local maximum at
=
6
6
√
√
− − 2 − 12
− + 2 − 12
=
and a local minimum at  =
.
6
6
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CHAPTER 4
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(b) Let 0 be a critical number for  (). Then  0 (0 ) = 0 ⇒
−1 − 320
. Now
0


−1 − 320
+ 20
 (0 ) = 230 + 20 + 20 = 230 + 20
0
320 + 0 + 1 = 0 ⇔  =
= 230 − 0 − 330 + 20 = 0 − 30


So the point is (0  0 ) = 0  0 − 30 ; that is, the point lies
on the curve  =  − 3 .
4.7 Optimization Problems
1. (a)
First Number
Second Number
Product
1
22
22
2
21
42
3
20
60
4
19
76
5
18
90
6
17
102
7
16
112
8
15
120
9
14
126
10
13
130
11
12
132
We needn’t consider pairs where the first number is larger
than the second, since we can just interchange the numbers
in such cases. The answer appears to be 11 and 12, but we
have considered only integers in the table.
(b) Call the two numbers  and . Then  +  = 23, so  = 23 − . Call the product  . Then
 =  = (23 − ) = 23 − 2 , so we wish to maximize the function  () = 23 − 2 . Since  0 () = 23 − 2,
we see that  0 () = 0 ⇔  =
23
2
= 115. Thus, the maximum value of  is  (115) = (115)2 = 13225 and it
occurs when  =  = 115.
Or: Note that  00 () = −2  0 for all , so  is everywhere concave downward and the local maximum at  = 115
must be an absolute maximum.
2. The two numbers are  + 100 and . Minimize  () = ( + 100) = 2 + 100.  0 () = 2 + 100 = 0
⇒  = −50.
00
Since  () = 2  0, there is an absolute minimum at  = −50. The two numbers are 50 and −50.
3. The two numbers are  and
100
100
100
2 − 100
, where   0. Minimize  () =  +
.  0 () = 1 − 2 =
. The critical



2
number is  = 10. Since  0 ()  0 for 0    10 and  0 ()  0 for   10, there is an absolute minimum at  = 10.
The numbers are 10 and 10.
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°
SECTION 4.7
OPTIMIZATION PROBLEMS
¤
433
4. Call the two numbers  and . Then  +  = 16, so  = 16 − . Call the sum of their squares . Then
 = 2 +  2 = 2 + (16 − )2
⇒  0 = 2 + 2(16 − )(−1) = 2 − 32 + 2 = 4 − 32.  0 = 0 ⇒  = 8.
Since  0 ()  0 for 0    8 and  0 ()  0 for   8, there is an absolute minimum at  = 8 Thus,  = 16 − 8 = 8
and  = 82 + 82 = 128.
5. Let the vertical distance be given by () = ( + 2) − 2 , −1 ≤  ≤ 2.
 0 () = 1 − 2 = 0 ⇔  = 12 . (−1) = 0, 
1
2
= 94 , and (2) = 0, so
there is an absolute maximum at  = 12 . The maximum distance is
 
 12 = 12 + 2 − 14 = 94 .
6. Let the vertical distance be given by
() = (2 + 1) − ( − 2 ) = 22 −  + 1.  0 () = 4 − 1 = 0 ⇔
 = 14 .  0 ()  0 for  
and  0 ()  0 for   14 , so there is an absolute
 
minimum at  = 14 . The minimum distance is  14 = 18 − 14 + 1 = 78 .
1
4
7. If the rectangle has dimensions  and , then its perimeter is 2 + 2 = 100 m, so  = 50 − . Thus, the area is
 =  = (50 − ). We wish to maximize the function () = (50 − ) = 50 − 2 , where 0    50. Since
0 () = 50 − 2 = −2( − 25), 0 ()  0 for 0    25 and 0 ()  0 for 25    50. Thus,  has an absolute
maximum at  = 25, and (25) = 252 = 625 m2 . The dimensions of the rectangle that maximize its area are  =  = 25 m.
(The rectangle is a square.)
8. If the rectangle has dimensions  and , then its area is  = 1000 m2 , so  = 1000. The perimeter
 = 2 + 2 = 2 + 2000. We wish to minimize the function  () = 2 + 2000 for   0.
√
 0 () = 2 − 20002 = (22 )(2 − 1000), so the only critical number in the domain of  is  = 1000.
√
√

 00 () = 40003  0, so  is concave upward throughout its domain and  1000 = 4 1000 is an absolute minimum
√
√
value. The dimensions of the rectangle with minimal perimeter are  =  = 1000 = 10 10 m. (The rectangle is a square.)
9. We need to maximize  for  ≥ 0.
 0 () =
 () =

1 + 2
⇒
(1 +  2 ) − (2)
(1 −  2 )
(1 + )(1 − )
=
=
.  0 ()  0 for 0    1 and  0 ()  0
(1 +  2 )2
(1 +  2 )2
(1 +  2 )2
for   1. Thus,  has an absolute maximum of  (1) = 12  at  = 1.
10. We need to maximize  for  ≥ 0.
 0 () =
 () =
100
2 +  + 4
⇒
( 2 +  + 4)(100) − 100(2 + 1)
100( 2 +  + 4 − 2 2 − )
−100( 2 − 4)
−100( + 2)( − 2)
=
= 2
=
.
( 2 +  + 4)2
( 2 +  + 4)2
( +  + 4)2
( 2 +  + 4)2
 0 ()  0 for 0    2 and  0 ()  0 for   2. Thus,  has an absolute maximum of  (2) = 20 at  = 2.
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°
434
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
11. (a)
The areas of the three figures are 12,500, 12,500, and 9000 ft2 . There appears to be a maximum area of at least 12,500 ft2 .
(b) Let  denote the length of each of two sides and three dividers.
Let  denote the length of the other two sides.
(c) Area  = length × width =  · 
(d) Length of fencing = 750 ⇒ 5 + 2 = 750


(e) 5 + 2 = 750 ⇒  = 375 − 52  ⇒ () = 375 − 52   = 375 − 52 2
(f ) 0 () = 375 − 5 = 0 ⇒  = 75. Since 00 () = −5  0 there is an absolute maximum when  = 75. Then
 375 
= 14,0625 ft2 . These values of  and  are between the values in the first
 = 375
2 = 1875. The largest area is 75 2
and second figures in part (a). Our original estimate was low.
12. (a)
The volumes of the resulting boxes are 1, 16875, and 2 ft3 . There appears to be a maximum volume of at least 2 ft3 .
(b) Let  denote the length of the side of the square being cut out. Let 
denote the length of the base.
(c) Volume  = length × width × height ⇒  =  ·  ·  = 2
(d) Length of cardboard = 3 ⇒  +  +  = 3 ⇒  + 2 = 3
(e)  + 2 = 3 ⇒  = 3 − 2 ⇒  () = (3 − 2)2
(f )  () = (3 − 2)2
⇒
 0 () =  · 2(3 − 2)(−2) + (3 − 2)2 · 1 = (3 − 2)[−4 + (3 − 2)] = (3 − 2)(−6 + 3),
 
so the critical numbers are  = 32 and  = 12 . Now 0 ≤  ≤ 32 and  (0) =  32 = 0, so the maximum is
   
 12 = 12 (2)2 = 2 ft3 , which is the value found from our third figure in part (a).
13.
 = 15 × 106 , so  = 15 × 106. Minimize the amount of fencing, which is
3 + 2 = 3 + 2(15 × 106) = 3 + 3 × 106 =  ().
 0 () = 3 − 3 × 1062 = 3(2 − 106 )2 . The critical number is  = 103 and
 0 ()  0 for 0    103 and  0 ()  0 if   103 , so the absolute minimum
occurs when  = 103 and  = 15 × 103 .
The field should be 1000 feet by 1500 feet with the middle fence parallel to the short side of the field.
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°
SECTION 4.7
14.
OPTIMIZATION PROBLEMS
¤
435
See the figure. We have 4 +  = 1200 ⇒  = 1200 − 4. The trapezoidal
area  is 12 ( + 3) = 2 = 2(1200 − 4) = 2400 − 82 , 0    300.
0 () = 2400 − 16 = 0 ⇔  = 150. Since 0 ()  0 for 0    150 and
0 ()  0 for 150    300, there is an absolute maximum when  = 150 by the First Derivative Test for Absolute
Extreme Values.  = 150 ⇒  = 1200 − 4(150) = 600. The maximum area is 2 = 2(150)(600) = 180,000 ft2 .
15.
See the figure. The fencing cost $20 per linear foot to install and the cost of the
fencing on the west side will be split with the neighbor, so the farmer’s cost  will
be  = 12 (20) + 20 + 20 = 20 + 30. The area  will be maximized when
 = 5000, so 5000 = 20 + 30 ⇔ 20 = 5000 − 30 ⇔


 = 250 − 32 . Now  =  =  250 − 32  = 250 − 32 2 ⇒ 0 = 250 − 3. 0 = 0 ⇔  = 250
and since
3


3 250
= 125 ft. [The maximum area is
00 = −3  0, we have a maximum for  when  = 250
3 ft and  = 250 − 2
3
 
125 250
= 10,4166 ft2 .]
3
16.
See the figure. The fencing cost $20 per linear foot to install and the cost of the
fencing on the west side will be split with the neighbor, so the farmer’s cost  will
be  = 12 (20) + 20 + 20 = 20 + 30. The area  to be enclosed is
8000 ft2 , so  =  = 8000 ⇒  =
8000
.



8000
160,000
160,000
Now  = 20 + 30 = 20
+ 30 ⇒  0 = −
+ 30.  0 = 0 ⇔
+ 30 =


2


160,000
40 √
16,000
320,000
16,000
10
2
30 =
⇒ =
= 40
=
⇔  =
30. Since  00 =
 0 [for   0],
2
3
3
3
3
3
√
√
40 √
8000
3
8000
30
we have a minimum for  when  =
=
· √ · √ = 20 30 ft. [The minimum cost is
30 ft and  =
3

40
30
30
√
√
 √ 
20(20 30 ) + 30 40
30 = 800 30 ≈ $438178.]
3
17. (a) Let the rectangle have sides  and  and area , so  =  or  = . The problem is to minimize the


perimeter = 2 + 2 = 2 + 2 =  (). Now  0 () = 2 − 22 = 2 2 −  2 . So the critical number is
√
√
√
√
 = . Since  0 ()  0 for 0     and  0 ()  0 for   , there is an absolute minimum at  = .
√
√
√
The sides of the rectangle are  and   = , so the rectangle is a square.
(b) Let  be the perimeter and  and  the lengths of the sides, so  = 2 + 2 ⇒ 2 =  − 2 ⇒  = 12  − .


The area is () =  12  −  = 12  − 2 . Now 0 () = 0 ⇒ 12  − 2 = 0 ⇒ 2 = 12  ⇒  = 14 . Since
00 () = −2  0, there is an absolute maximum for  when  = 14  by the Second Derivative Test. The sides of the
rectangle are 14  and 12  − 14  = 14 , so the rectangle is a square.
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°
436
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
18. Let  be the length of the base of the box and  the height. The volume is 32,000 = 2 
⇒
 = 32,0002 .
The surface area of the open box is  = 2 + 4 = 2 + 4(32,0002 ) = 2 + 4(32,000).


√
So  0 () = 2 − 4(32,000)2 = 2 3 − 64,000 2 = 0 ⇔  = 3 64,000 = 40. This gives an absolute minimum
since  0 ()  0 if 0    40 and  0 ()  0 if   40. The box should be 40 × 40 × 20.
19. Let  be the length of the base of the box and  the height. The surface area is 1200 = 2 + 4
⇒  = (1200 − 2 )(4).
The volume is  = 2  = 2 (1200 − 2 )4 = 300 − 34 ⇒  0 () = 300 − 34 2 .
√
 0 () = 0 ⇒ 300 = 34 2 ⇒ 2 = 400 ⇒  = 400 = 20. Since  0 ()  0 for 0    20 and  0 ()  0 for
  20, there is an absolute maximum when  = 20 by the First Derivative Test for Absolute Extreme Values. If  = 20, then
 = (1200 − 202 )(4 · 20) = 10, so the largest possible volume is 2  = (20)2 (10) = 4000 cm3 .
 = (4 − 2)(3 − 3) = 12 − 182 + 63 , 0 ≤  ≤ 1.
20.
 0 () = 12 − 36 + 182 = 6(2 − 6 + 32 ).
√
√
3+ 3
3− 3
 0 () = 0 ⇒  =
by the quadratic formula (rejecting  =
3
3
√ 
√ 


√
3− 3
3− 3
since it is greater than 1).  00 () = −36 + 36 ⇒  00
= −36 + 36
= −36 + 36 − 12 3  0,
3
3
√
3− 3
so there is an absolute maximum at  =
sinice  (0) =  (1) = 0. The maximum volume is
3
√ 
√

3− 3
4 3

 231 ft3 .
=
3
3
 =  ⇒ 10 = (2)() = 22 , so  = 52 .
21.
The cost is 10(22 ) + 6[2(2) + 2()] = 202 + 36, so


() = 202 + 36 52 = 202 + 180.


 0 () = 40 − 1802 = (403 − 180)2 = 40 3 − 92 2
absolute minimum for  when  =
cost is 
22.
 
3
9
2

3
9
2
⇒ =

since  0 ()  0 for 0   
  2
180
= 20 3 92 + 
≈ $16354.
3
92
 = 
⇒
3
9
2

3
9
2
is the critical number. There is an
and  0 ()  0 for  

3
9
2.
The minimum
10 = (2)() = 22 , so  = 52 .
The cost is 10(22 ) + 6[2(2) + 2()] + 6(22 ) = 322 + 36, so
() = 322 + 36(52 ) = 322 + 180.
 0 () = 64 − 1802 = (643 − 180)2 = 4(163 − 45)2
absolute minimum for  when  =
cost is 

3
45
16


3
45
16
⇒ =
since  0 ()  0 for 0   
  2
180
= 32 3 45
+ 
≈ $19128.
16
3
4516

3
45
16

3
45
16
is the critical number. There is an
and  0 ()  0 for  

3
45
.
16
The minimum
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°
SECTION 4.7
OPTIMIZATION PROBLEMS
¤
23. Let   0 be the length of the package and   0 be the length of the sides of the square base. We have  + 4 = 108
437
⇒
 = 108 − 4. The volume is  =  2 = (108 − 4) 2 = 108 2 − 4 3 [for 0    27].
 0 () = 216 − 12 2 = 12(18 − ) = 0 ⇒  = 18 [since  6= 0]. Since  0 ()  0 for 0    18 and  0 ()  0
for   18, there is an absolute maximum when  = 18 by the First Derivative Test for Absolute Extreme Values. If  = 18,
then  = 108 − 4(18) = 36, so the dimensions that give the greatest volume are 18 in × 18 in × 36 in, giving a greatest
possible volume of 11,664 in3 .
24. Let   0 be the length of the package and   0 be the radius of the circular base. We have  + 2 = 108
⇒
 = 108 − 2. The volume is  = 2  = 2 (108 − 2) = (1082 − 23 ) [for 0    54].
 0 () = (216 − 62 ) = 6(36 − ) = 0 ⇒  =
36
36
[since  6= 0]. Since  0 ()  0 for 0   
and


36
36
, there is an absolute maximum when  =
by the First Derivative Test for Absolute Extreme Values.


 
36
36
If  =
, then  = 108 − 2
= 108 − 72 = 36, so the dimensions that give the greatest volume are a length of 36 in


 0 ()  0 for  
and a base radius of
46,656 3
36
 1146 in, giving a greatest possible volume of
in [ 14,8511 in3 ].


25. The distance  from the origin (0 0) to a point ( 2 + 3) on the line is given by  =

( − 0)2 + (2 + 3 − 0)2 and the
square of the distance is  = 2 = 2 + (2 + 3)2 .  0 = 2 + 2(2 + 3)2 = 10 + 12 and  0 = 0 ⇔  = − 65 . Now

 

 00 = 10  0, so we know that  has a minimum at  = − 65 . Thus, the ­value is 2 − 65 + 3 = 35 and the point is − 65  35 .
26. The distance  from the point (3 0) to a point (
√
 ) on the curve is given by  =

√
2
( − 3)2 + (  − 0) and the square
of the distance is  = 2 = ( − 3)2 + .  0 = 2( − 3) + 1 = 2 − 5 and  0 = 0 ⇔  = 52 . Now  00 = 2  0, so we

  
know that  has a minimum at  = 52 . Thus, the ­value is 52 and the point is 52  52 .
27.
From the figure, we see that there are two points that are farthest away from
(1 0). The distance  from  to an arbitrary point  ( ) on the ellipse is

 = ( − 1)2 + ( − 0)2 and the square of the distance is
 =  2 = 2 − 2 + 1 +  2 = 2 − 2 + 1 + (4 − 42 ) = −32 − 2 + 5.
 0 = −6 − 2 and  0 = 0 ⇒  = − 13 . Now  00 = −6  0, so we know
that  has a maximum at  = − 13 . Since −1 ≤  ≤ 1, (−1) = 4,

 
16
,
and
(1)
=
0,
we
see
that
the
maximum
distance
is
. The corresponding ­values are
 − 13 = 16
3
3


√
√ 
 2

 = ± 4 − 4 − 13 = ± 32
= ± 43 2 ≈ ±189. The points are − 13  ± 43 2 .
9
28. The distance  from the point (4 2) to a point ( sin ) on the curve is given by  =

( − 4)2 + (sin  − 2)2 and the
square of the distance is  = 2 = ( − 4)2 + (sin  − 2)2 .  0 = 2( − 4) + 2(sin  − 2) cos . Using a calculator, it is
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
438
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
clear that  has a minimum between 0 and 5, and from a graph of  0 , we find that  0 = 0 ⇒  ≈ 265, so the point is
about (265 047).
The area of the rectangle is (2)(2) = 4. Also 2 = 2 +  2 so
√
√
 = 2 − 2 , so the area is () = 4 2 − 2 . Now


√
2 − 22
2
=4√
2 − 2 − √
. The critical number is
0 () = 4
2 − 2
2 − 2
29.
=
=

2 −
and 2 =

1
√

2
√
2 .
2
=

1 2

2
=
√1 
2
√1 .
2
Clearly this gives a maximum.
= , which tells us that the rectangle is a square. The dimensions are 2 =
The area of the rectangle is (2)(2) = 4. Now
30.
√
2
2
2
+ 2 = 1 gives
2


 √
√ 2
 − 2 , so we maximize () = 4  2 − 2 .




4
 · 12 (2 − 2 )−12 (−2) + (2 − 2 )12 · 1
0 () =

4
4 2
( − 2−12 [−2 + 2 − 2 ] = √
[2 − 22 ]
=

 2 − 2
=
So the critical number is  =
√1
2
, and this clearly gives a maximum. Then  =
1
√
2
, so the maximum area



is 4 √12  √12  = 2.
The height  of the equilateral triangle with sides of length  is
31.
since 2 + (2)2 = 2
=
√
3
.
2
√
3 =
⇒ 2 = 2 − 14 2 = 34 2
√
−
,
⇒
√
−
=
= 3 ⇒

2
√
√
√
⇒  = 23  − 3  ⇒  = 23 ( − 2).
Using similar triangles,
√
3
2 
3

2
√
3

2
√
3
2
√
√
√
The area of the inscribed rectangle is () = (2) = 3 ( − 2) = 3  − 2 3 2 , where 0 ≤  ≤ 2. Now
√
√
√  √ 
0 = 0 () = 3  − 4 3  ⇒  = 3  4 3 = 4. Since (0) = (2) = 0, the maximum occurs when
 = 4, and  =
√
3
2 
−
√
3
4 
=
√
3
4 ,
so the dimensions are 2 and
√
3
4 .
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.7
¤
OPTIMIZATION PROBLEMS
439
The area  of a trapezoid is given by  = 12 ( + ). From the diagram,
32.
 = ,  = 2, and  = 2, so  = 12 (2 + 2) = (1 + ). Since it’s easier to
substitute for  2 , we’ll let  = 2 =  2 (1 + )2 = (1 − 2 )(1 + )2 . Now
 0 = (1 − 2 )2(1 + ) + (1 + )2 (−2) = −2(1 + )[−(1 − 2 ) + (1 + )]
= −2(1 + )(22 +  − 1) = −2(1 + )(2 − 1)( + 1)
 0 = 0 ⇔  = −1 or  = 12 .  0  0 if  

 2
 = 0]. Thus,  = 1 − 12 =
√
3
2
1
2
and  0  0 if   12 , so we get a maximum at  =
and the maximum area is  = (1 + ) =
√
3
2


1 + 12 =
1
2
[ = −1 gives us
√
3 3
.
4
The area of the triangle is
33.
() = 12 (2)( + ) = ( + ) =
√
2 − 2 ( + ). Then
√
−2
−2
+ 2 − 2 +  √
0 = 0 () =  √
2 2 − 2
2 2 − 2
√
2 + 
= −√
+ 2 − 2 ⇒
2
2
 −
√
2 + 
√
= 2 − 2
2 − 2
⇒ 2 +  = 2 − 2
⇒ 0 = 22 +  − 2 = (2 − )( + ) ⇒
 = 12  or  = −. Now () = 0 = (−) ⇒ the maximum occurs where  = 12 , so the triangle has
height  + 12  = 32  and base 2


√
 2
2 − 12  = 2 34 2 = 3 .
√
From the figure, we have 2 + 2 = 2 ⇒  = 2 − 2 . The area of the isosceles
√
triangle is  = 12 (2) =  =  2 − 2 with 0 ≤  ≤ . Now
34.
0 =  · 12 (2 − 2 )−12 (−2) + (2 − 2 )12 (1)
0 = 0 ⇔ 2 = 12 2
2 − 22
= (2 − 2 )−12 [−2 + (2 − 2 )] = √
2 − 2
√
√
√ 
⇒  =  2. Since (0) = 0, () = 0, and ( 2 ) = ( 2 ) 2 2 = 12 2 , we see that
√
√
√
 =  2 gives us the maximum area and the length of the base is 2 = 2( 2 ) = 2 . Note that the triangle has sides ,
√
, and 2 , which form a right triangle, with the right angle between the two sides of equal length.
35. The area of the triangle is  =
0 ()  0 for 0   

2
1
2 (2) sin 
for 0    . 0 () = 2 cos  = 0 ⇒ cos  = 0 ⇒  =
and 0 ()  0 for

2
   , there is an absolute maximum when  =

2

2.
Since
by the First Derivative
Test for Absolute Extreme Values. (The maximum area of 12 (2) sin 2 = 2 results from the triangle being a right triangle.)
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
440
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
The area of the rectangle is  = 2 = 2(4 − 2 ) = 8 − 23 , 0    2.
36.
2
0 () = 8 − 62 = 2(4 − 32 ) = 0 ⇒  = √ [since   0]. Since
3
2
2
0 ()  0 for 0    √ and 0 ()  0 for √    2, there is an absolute
3
3
2
maximum when  = √ by the First Derivative Test for Absolute Extreme
3



2  
 
2
2
8
4
32
Values. Thus, the largest possible area of the rectangle is  = 2 √
4− √
= √
= √  616.
3
3
3
3
3 3
37.
The cylinder has volume  =  2 (2). Also 2 +  2 = 2
⇒  2 = 2 − 2 , so
 () = (2 − 2 )(2) = 2(2  − 3 ), where 0 ≤  ≤ .
√


 0 () = 2 2 − 32 = 0 ⇒  =  3. Now  (0) =  () = 0, so there is a
√
 √ 
 √ 
 √ 
maximum when  =  3 and   3 = (2 − 2 3) 2 3 = 43  3 3 .
By similar triangles,  = , so  = . The volume of the cylinder is
38.
2 ( − ) = 2 − ()3 =  (). Now
 0 () = 2 − (3)2 = (2 − 3).
So  0 () = 0 ⇒  = 0 or  = 23 . The maximum clearly occurs when
 = 23  and then the volume is
2 − ()3 = 2 (1 − ) = 
39.
The cylinder has surface area

 2 2 
  1 − 23 =
3
4
2 .
27
2(area of the base) + (lateral surface area) = 2(radius)2 + 2(radius)(height)
= 2 2 + 2(2)
√
 = 2 − 2 , so the surface area is
√
() = 2(2 − 2 ) + 4 2 − 2  0 ≤  ≤ 

 √
= 22 − 22 + 4  2 − 2


Thus,
 0 () = 0 − 4 + 4  · 12 (2 − 2 )−12 (−2) + (2 − 2 )12 · 1
√


√
− 2 − 2 − 2 + 2 − 2
2
√
+ 2 − 2 = 4 ·
= 4 − − √
2 − 2
2 − 2
√
2
 √
 0 () = 0 ⇒  2 − 2 = 2 − 22 () ⇒  2 − 2 = (2 − 22 )2 ⇒
Now 2 +  2 = 2
2 (2 − 2 ) = 4 − 42 2 + 44
⇒  2 = 2 − 2
⇒ 2 2 − 4 = 4 − 42 2 + 44
This is a quadratic equation in 2 . By the quadratic formula, 2 =
√
5± 5 2
10  ,
⇒
⇒ 54 − 52 2 + 4 = 0.
but we reject the solution with the + sign since it
 √
doesn’t satisfy (). [The right side is negative and the left side is positive.] So  = 5 −10 5 . Since (0) = () = 0, the
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°
SECTION 4.7
maximum surface area occurs at the critical number and 2 =
the surface area is

 √  √
 √ 
2 5 +10 5 2 + 4 5 −10 5 5 +10 5 2 = 2 2 ·
= 2
40.

√
5+ 5
10
√
5− 5 2
10 
+4
√
√
5+ 5 + 2·2 5
5
Perimeter = 30 ⇒ 2 +  + 

√
(5−

√
5)(5+ 5)
10
= 2

2
⇒  2 = 2 −


√
5+5 5
5
= 2

OPTIMIZATION PROBLEMS
√
5− 5 2
10 

√
5+ 5
5
+
=
√
5+ 5 2
10 
¤
441
⇒
√ 
2 20
5
√ 

= 2 1 + 5 .
= 30 ⇒
1
 


30 −  −
= 15 − −
. The area is the area of the rectangle plus the area of
2
2
2
4
  2

   1 2
+ 8  = 15 − 12 2 − 8 2 .
, so () =  15 − −
the semicircle, or  + 12 
2
2
4
=

60
15

=
. 00 () = − 1 +
 0, so this gives a maximum.
1 + 4
4+
4


0 () = 15 − 1 + 4  = 0 ⇒  =
The dimensions are  =
60
30
15
60 + 15 − 30 − 15
30
ft and  = 15 −
−
=
=
ft, so the height of the
4+
4+
4+
4+
4+
rectangle is half the base.
 = 384 ⇒  = 384. Total area is
41.
() = (8 + )(12 + 384) = 12(40 +  + 256), so
0 () = 12(1 − 2562 ) = 0 ⇒  = 16. There is an absolute minimum
when  = 16 since 0 ()  0 for 0    16 and 0 ()  0 for   16.
When  = 16,  = 38416 = 24, so the dimensions are 24 cm and 36 cm.
 = 180, so  = 180. The printed area is
42.
( − 2)( − 3) = ( − 2)(180 − 3) = 186 − 3 − 360 = ().
√
0 () = −3 + 3602 = 0 when 2 = 120 ⇒  = 2 30. This gives an absolute
√
√
maximum since 0 ()  0 for 0    2 30 and 0 ()  0 for   2 30. When
√
√
√
√
 = 2 30,  = 180(2 30 ), so the dimensions are 2 30 in. and 90 30 in.
Let  be the length of the wire used for the square. The total area is
  2 1  10 −   √3  10 −  
+
() =
4
2
3
2
3
43.
=
0 () = 18  −
Now (0) =
√
3
(10
18
− ) = 0 ⇔
9

72
√ 
3
100 ≈ 481, (10) =
36
+
100
16
√
4 3

72
−
√
40 3
72
1 2

16
+
√
3
(10
36
=0 ⇔ =
− )2 , 0 ≤  ≤ 10
√
40 √
3
.
9+4 3
 √ 
3
√
≈ 272, so
= 625 and  9 40
+4 3
(a) The maximum area occurs when  = 10 m, and all the wire is used for the square.
(b) The minimum area occurs when  =
√
40 √
3
9+4 3
≈ 435 m.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
442
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
2
(10 − )2
2
10 − 
+
, 0 ≤  ≤ 10.
=
4
2
16
4


10 − 
1
5

1
=
+
 − = 0 ⇒  = 40(4 + ).
0 () = −
8
2
2
8

Total area is () =
44.
  2
+

(0) = 25 ≈ 796, (10) = 625, and (40(4 + )) ≈ 35, so the maximum
occurs when  = 0 m and the minimum occurs when  = 40(4 + ) m.
From the figure, the perimeter of the slice is 2 +  = 32, so  =
45.
 of the slice is  = 12 2  = 12 2

32 − 2


32 − 2
. The area

= (16 − ) = 16 − 2 for
0 ≤  ≤ 16. 0 () = 16 − 2, so 0 = 0 when  = 8. Since (0) = 0, (16) = 0,
and (8) = 64 in.2 , the largest piece comes from a pizza with radius 8 in and
diameter 16 in Note that  = 2 radians ≈ 1146◦ , which is about 32% of the whole
pizza.

= −8 csc  cot  + 4 sec  tan  = 0 when

√
√
sec  tan  = 2 csc  cot  ⇔ tan3  = 2 ⇔ tan  = 3 2 ⇔  = tan−1 3 2.
√
√
  0 when 0    tan−1 3 2,   0 when tan−1 3 2    2 , so  has
√
an absolute minimum when  = tan−1 3 2, and the shortest ladder has length
√
√
1 + 2 23
+ 4 1 + 2 23 ≈ 1665 ft.
=8
213
46.
 = 8 csc  + 4 sec , 0   

,
2
Another method: Minimize 2 = 2 + (4 + )2 , where
2 + 2 = 2
47.
 0 () =

(2
3
⇒  =
 2
3 
=
2

3 (
− 32 ) = 0 when  =
− 2 ) =
1
√
.
3
2

3 ( 
48. The volume and surface area of a cone with radius  and height  are given by  =
 = 2 2 (2 + 2 ) = 2

81



1
2 
3
− 3 ).
This gives an absolute maximum, since
 0 ()  0 for 0    √13  and  0 ()  0 for  




1
2
 √13  = 3 √13 3 − 3√
3 = 9√
3 .
3
3
We’ll minimize  =  2 subject to  = 27.  = 27 ⇒
8

= .
4+

√1 .
3
1
2 
3
= 27 ⇒ 2 =
The maximum volume is
and  = 
81

√
2 + 2 .
(1).
812
−2 · 812
+ 81, so 0 = 0 ⇒
+ 81 = 0 ⇒
2

3


81
81
27
6
3 162

⇒ =
=3 3
≈ 3722. From (1), 2 =
=
= √
3
3



 · 3 6
62
81
+ 2

=
162
2 · 812
⇒ 3 =
3

√
3 3
≈ 2632. 00 = 6 · 812 4  0, so  and hence  has an absolute minimum at these values of  and .
= √
6
62
81 =
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°
⇒
SECTION 4.7
By similar triangles,
49.
 −

=


so we’ll solve (1) for .
=−
OPTIMIZATION PROBLEMS
¤
443
(1). The volume of the inner cone is  = 13 2 ,

= − ⇒

 − 


=
= ( − ) (2).



Thus, () =
 2 

 · ( − ) =
(2 − 3 ) ⇒
3

3


(2 − 32 ) =
(2 − 3).
3
3
  1  1

 − 23  =
⇒  = 23  and from (2),  =
 = 3 .

 3
 0 () =
 0 () = 0 ⇒  = 0 or 2 = 3
 0 () changes from positive to negative at  = 23 , so the inner cone has a maximum volume of
 2  1 
4
 = 13 2  = 13  23 
 = 27
· 13 2 , which is approximately 15% of the volume of the larger cone.
3
50. We need to minimize  for 0 ≤   2.
 () =

 sin  + cos 
⇒  0 () =
− ( cos  − sin )
[by the
( sin  + cos )2
Reciprocal Rule].  0 ()  0 ⇒  cos  − sin   0 ⇒  cos   sin  ⇒   tan  ⇒   tan−1 .




So  is decreasing on 0 tan−1  and increasing on tan−1  2 . Thus,  attains its minimum value at  = tan−1 .

This maximum value is  (tan−1 ) = 
.
2 + 1
51.  () =
2
( + )2
⇒
 0 () =
=
 0 () = 0 ⇒  = 
( + )2 ·  2 −  2  · 2( + )
(2 + 2 + 2 ) 2 − 2 2 2 − 2 2 
=
2
2
[( + ) ]
( + )4
 2 2 −  2 2
 2 (2 − 2 )
 2 ( + )( − )
 2 ( − )
=
=
=
( + )4
( + )4
( + )4
( + )3
⇒  () =
2 
2
2
.
=
=
2
2
( + )
4
4
The expression for  0 () shows that  0 ()  0 for    and  0 ()  0 for   . Thus, the maximum value of the
power is  2 (4), and this occurs when  = .
52. (a) () =
3
−
2 3 = 32
⇒  0 () = 
( − )3 2 −  3
= 0 when
( − )2
(b)
⇒ 2 = 3 ⇒  = 32 .
The First Derivative Test shows that this value of  gives the minimum
value of .
53.  = 6 − 32 2 cot  +
 3 √ 2
3  csc 
2
√

 √



= 32 2 csc2  − 32 3 2 csc  cot  or 32 2 csc  csc  − 3 cot  .

√
√ cos 

1
= 0 when csc  − 3 cot  = 0 ⇒
− 3
= 0 ⇒ cos  =
(b)

sin 
sin 
 
that the minimum surface area occurs when  = cos−1 √13 ≈ 55◦ .
(a)
√1 .
3
The First Derivative Test shows
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
444
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
(c)
If cos  =
√1 ,
3
then cot  =
 = 6 − 32 2 √12 +
1
√
2
and csc  =
√
√3 ,
2
so the surface area is
√ √
32 23 √32
3
√
2
2 2
= 6 −


2
6
1
√
= 6 + 2√

=
6

+

2
2 2
+
9
√
2
2 2
Let  be the time, in hours, after 2:00 PM. The position of the boat heading south
54.
at time  is (0 −20). The position of the boat heading east at time  is
(−15 + 15 0). If () is the distance between the boats at time , we
minimize  () = [()]2 = 202 2 + 152 ( − 1)2 .
 0 () = 800 + 450( − 1) = 1250 − 450 = 0 when  =
036 h ×
60 min
h
450
1250
= 036 h.
= 216 min = 21 min 36 s. Since  00 ()  0, this gives a minimum, so the boats are closest together
at 2:21:36 PM.
√
√
5−

1
2 + 25
+
, 0 ≤  ≤ 5 ⇒  0 () = √
55. Here  () =
− = 0 ⇔ 8 = 6 2 + 25 ⇔
6
8
8
6 2 + 25
162 = 9(2 + 25) ⇔  =
15
√
.
7
But
15
√
7
 5, so  has no critical number. Since  (0) ≈ 146 and  (5) ≈ 118, she
should row directly to .
56.
In isosceles triangle , ∠ = 180◦ −  − , so ∠ = 2. The distance rowed is
4 cos  while the distance walked is the length of arc  = 2(2) = 4. The time taken
is given by  () =
4 cos 
4
+
= 2 cos  + , 0 ≤  ≤
2
4
 0 () = −2 sin  + 1 = 0 ⇔ sin  =
1
2
⇒ =

2.

.
6
Check the value of  at  = 6 and at the endpoints of the domain of  ; that is,  = 0 and  = 2 .
 
  √
 (0) = 2,  6 = 3 + 6 ≈ 226, and  2 = 2 ≈ 157. Therefore, the minimum value of  is
the woman should walk all the way. Note that  00 () = −2 cos   0 for 0 ≤  
57. There are (6 − ) km over land and

,
2
so  =

6

2
when  =

;
2
that is,
gives a maximum time.
√
2 + 4 km under the river.
We need to minimize the cost  (measured in $100,000) of the pipeline.
√

() = (6 − )(4) +
2 + 4 (8) ⇒
8
.
 0 () = −4 + 8 · 12 (2 + 4)−12 (2) = −4 + √
2 + 4
√
8
 0 () = 0 ⇒ 4 = √
2 + 4 = 2 ⇒ 2 + 4 = 42 ⇒ 4 = 32 ⇒ 2 =
⇒
2 + 4
√
√
 = 2 3 [0 ≤  ≤ 6]. Compare the costs for  = 0, 2 3, and 6. (0) = 24 + 16 = 40,
4
3
⇒
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°
SECTION 4.7
OPTIMIZATION PROBLEMS
¤
445
√
√
√
√
 √ 
 2 3 = 24 − 8 3 + 32 3 = 24 + 24 3 ≈ 379, and (6) = 0 + 8 40 ≈ 506. So the minimum cost is about
√
$379 million when  is 6 − 2 3 ≈ 485 km east of the refinery.
58. The distance from the refinery to  is now
Thus, () = 4

√
(6 − )2 + 12 = 2 − 12 + 37.
√
√
2 − 12 + 37 + 8 2 + 4 ⇒
4( − 6)
8
 0 () = 4 · 12 (2 − 12 + 37)−12 (2 − 12) + 8 · 12 (2 + 4)−12 (2) = √
+√
.
2
 − 12 + 37
2 + 4
 0 () = 0 ⇒  ≈ 112 [from a graph of  0 or a numerical rootfinder]. (0) ≈ 403, (112) ≈ 383, and
(6) ≈ 546. So the minimum cost is slightly higher (than in the previous exercise) at about $383 million when  is
approximately 488 km from the point on the bank 1 km south of the refinery.
The total illumination is () =
59.
 0 () =
3

+
, 0    10. Then
2
(10 − )2
−6
2
+
= 0 ⇒ 6(10 − )3 = 23
3
(10 − )3
⇒
√
√
√
√
√
3
3 (10 − ) =  ⇒ 10 3 3 − 3 3  =  ⇒ 10 3 3 =  + 3 3  ⇒
√
√
√ 

10 3 3
√ ≈ 59 ft. This gives a minimum since  00 ()  0 for 0    10.
10 3 3 = 1 + 3 3  ⇒  =
1+ 33
3(10 − )3 = 3
⇒
The line with slope  (where   0) through (3 5) has equation  − 5 = ( − 3) or
60.
 =  + (5 − 3). The ­intercept is 5 − 3 and the ­intercept is −5 + 3. So the
triangle has area () = 12 (5 − 3)(−5 + 3) = 15 − 25(2) − 92 . Now
0 () =
00 () = −
25
9
− = 0 ⇔ 2 =
22
2
25
9
⇒
 = − 53 (since   0).
25
 0, so there is an absolute minimum when  = − 53 . Thus, an equation of the line is  − 5 = − 53 ( − 3)
3
or  = − 53  + 10.
61.
Every line segment in the first quadrant passing through ( ) with endpoints on the ­
and ­axes satisfies an equation of the form  −  = ( − ), where   0. By setting



 = 0 and then  = 0, we find its endpoints, (0  − ) and   − 
 0 . The



− 0]2 + [0 − ( − )]2 .
distance  from  to  is given by  = [  − 
It follows that the square of the length of the line segment, as a function of , is given by
2

2
2

+ 2 + 2 2 − 2 + 2 . Thus,
+ ( − )2 = 2 −
() =  −



2 22
2
− 3 + 22  − 2 = 3 ( − 2 + 2 4 − 3 )
2


2
2
= 3 [( − ) + 3 ( − )] = 3 ( − )( + 3 )




2
Thus,  0 () = 0 ⇔  =  or  = − 3  . Since   0 and   0,  must equal − 3  . Since 3  0, we see

 0 () =
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°
446
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION



that  0 ()  0 for   − 3  and  0 ()  0 for   − 3  . Thus,  has its absolute minimum value when  = − 3  .
That value is
   
2 
 2 

2  √
2
√
3
3 2
 − 3  =  +  3 
+ − 3  −  =  + 2 +
 +
= 2 + 243 23 + 23 43 + 43 23 + 223 43 + 2 = 2 + 343 23 + 323 43 + 2
The last expression is of the form 3 + 32  + 32 +  3
[= ( + )3 ] with  = 23 and  = 23 ,
√
so we can write it as (23 + 23 )3 and the shortest such line segment has length  = (23 + 23 )32 .
62.  = 1 + 403 − 35
⇒  0 = 1202 − 154 , so the tangent line to the curve at  =  has slope () = 1202 − 154 .
Now 0 () = 240 − 603 = −60(2 − 4) = −60( + 2)( − 2), so 0 ()  0 for   −2, and 0    2, and
0 ()  0 for −2    0 and   2. Thus,  is increasing on (−∞ −2), decreasing on (−2 0), increasing on (0 2), and
decreasing on (2 ∞)  Clearly, () → −∞ as  → ±∞, so the maximum value of () must be one of the two local
maxima, (−2) or (2). But both (−2) and (2) equal 120 · 22 − 15 · 24 = 480 − 240 = 240. So 240 is the largest
slope, and it occurs at the points (−2 −223) and (2 225). Note:  = 0 corresponds to a local minimum of .
63.  =
−
3

⇒ 0 = −
3
, so an equation of the tangent line at the point ( 3 ) is
2
3
3
3
6
= − 2 ( − ), or  = − 2  + . The ­intercept [ = 0] is 6. The




­intercept [ = 0] is 2. The distance  of the line segment that has endpoints at the
intercepts is  =
 0 = 8 −

36
(2 − 0)2 + (0 − 6)2 . Let  = 2 , so  = 42 + 2

72
. 0 = 0 ⇔
3
⇒
√
72
= 8 ⇔ 4 = 9 ⇔ 2 = 3 ⇒  = 3.
3
√
216
 0, so there is an absolute minimum at  = 3 Thus,  = 4(3) +
4
√
√
hence,  = 24 = 2 6.
 00 = 8 +
64.  = 4 − 2
36
3
= 12 + 12 = 24 and
⇒  0 = −2, so an equation of the tangent line at ( 4 − 2 ) is
 − (4 − 2 ) = −2( − ), or  = −2 + 2 + 4. The ­intercept [ = 0]
2 + 4
. The area  of the triangle is
2


1
1 2 + 4 2
1
1 4 + 82 + 16
16
 = (base)(height) = ·
( +4) =
=
3 + 8 +
.
2
2
2
4

4



1
16
0 = 0 ⇒
32 + 8 − 2 = 0 ⇒ 34 + 82 − 16 = 0 ⇒
4



2
32
4
1
2
2
2
00
⇒ = √ .  =
6 + 3  0, so there is an absolute minimum at
(3 − 4)( + 4) = 0 ⇒  =
3
4

3
√


2
1 4 3 16
32 √
1 43 + 4 4
√
 = √ . Thus,  = ·
+4 = ·
·
=
3.
2 2(2 3) 3
2
3
3
9
3
is 2 + 4. The ­intercept [ = 0] is
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°
SECTION 4.7
65. (a) If () =
OPTIMIZATION PROBLEMS
¤
447
()
 0 () − ()
, then, by the Quotient Rule, we have 0 () =
. Now 0 () = 0 when

2
()
= (). Therefore, the marginal cost equals the average cost.

√
(b) (i) () = 16,000 + 200 + 432 , (1000) = 16,000 + 200,000 + 40,000 10 ≈ 216,000 + 126,491, so
 0 () − () = 0 and this gives  0 () =
(1000) ≈ $342,491. () = () =
 0 (1000) = 200 + 60
16,000
+ 200 + 412 , (1000) ≈ $34249unit.  0 () = 200 + 612 ,

√
10 ≈ $38974unit.
(ii) We must have  0 () = () ⇔ 200 + 612 =
16,000
+ 200 + 412

⇔ 232 = 16,000 ⇔
 = (8,000)23 = 400 units. To check that this is a minimum, we calculate
0 () =
−16,000
2
2
+ √ = 2 (32 − 8000). This is negative for   (8000)23 = 400, zero at  = 400,
2


and positive for   400, so  is decreasing on (0 400) and increasing on (400 ∞). Thus,  has an absolute minimum
at  = 400. [Note: 00 () is not positive for all   0.]
(iii) The minimum average cost is (400) = 40 + 200 + 80 = $320unit.
66. (a) The total profit is  () = () − (). In order to maximize profit we look for the critical numbers of  , that is, the
numbers where the marginal profit is 0. But if  0 () = 0 () −  0 () = 0, then 0 () =  0 (). Therefore, if the profit
is a maximum, then the marginal revenue equals the marginal cost.
(b) () = 16,000 + 500 − 162 + 00043 , () = 1700 − 7. Then () = () = 1700 − 72 . If the profit is
maximum, then 0 () =  0 () ⇔ 1700 − 14 = 500 − 32 + 00122
⇔ 00122 + 108 − 1200 = 0 ⇔
2 + 900 − 100,000 = 0 ⇔ ( + 1000)( − 100) = 0 ⇔  = 100 (since   0). The profit is maximized if
 00 ()  0, but since  00 () = 00 () −  00 (), we can just check the condition 00 ()   00 (). Now
00 () = −14  −32 + 0024 =  00 () for   0, so there is a maximum at  = 100.
67. (a) We are given that the demand function  is linear and (27,000) = 10, (33,000) = 8, so the slope is
10 − 8
27,000 − 33,000


1
1
( − 27,000) ⇒
= − 3000
and an equation of the line is  − 10 = − 3000
1
 + 19 = 19 − (3000).
 = () = − 3000
(b) The revenue is () = () = 19 − (23000) ⇒ 0 () = 19 − (1500) = 0 when  = 28,500. Since
00 () = −11500  0, the maximum revenue occurs when  = 28,500 ⇒ the price is (28,500) = $950.
68. (a) Let () be the demand function. Then () is linear and  = () passes through (20 10) and (18 11), so the slope is
− 12 and an equation of the line is  − 10 = − 12 ( − 20) ⇔  = − 12  + 20. Thus, the demand is () = − 12  + 20
and the revenue is () = () = − 12 2 + 20.
(b) The cost is () = 6, so the profit is  () = () − () = − 12 2 + 14. Then 0 =  0 () = − + 14 ⇒
 = 14. Since  00 () = −1  0, the selling price for maximum profit is (14) = − 12 (14) + 20 = $13.
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°
448
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
69. (a) As in Example 6, we see that the demand function  is linear. We are given that (1200) = 350 and deduce that
(1280) = 340, since a $10 reduction in price increases sales by 80 per week. The slope for  is
1
340 − 350
= − , so
1280 − 1200
8
an equation is  − 350 = − 18 ( − 1200) or () = − 18  + 500, where  ≥ 1200.
(b) () =  () = − 18 2 + 500. 0 () = − 14  + 500 = 0 when  = 4(500) = 2000. (2000) = 250, so the price
should be set at $250 to maximize revenue.
(c) () = 35,000 + 120 ⇒  () = () − () = − 18 2 + 500 − 35,000 − 120 = − 18 2 + 380 − 35,000.
 0 () = − 14  + 380 = 0 when  = 4(380) = 1520. (1520) = 310, so the price should be set at $310 to maximize
profit.
70. Let  denote the number of operating wells. Then the amount of daily oil production for each well is
240 − 8( − 16) = 368 − 8, where  ≥ 16. The total daily oil production  for all wells is given by
 () = (368 − 8) = 368 − 82 . Now  0 () = 368 − 16 and  0 () = 0 ⇔  =
368
16
= 23.
 00 () = −16  0, so the daily production is maximized when the company adds 23 − 16 = 7 wells.
Here 2 = 2 + 24, so 2 = 2 − 24. The area is  = 12 
71.
Let the perimeter be , so 2 +  =  or  = ( − )2 ⇒


() = 12  ( − )24 − 24 =  2 − 24. Now

2 − 2
−3 + 2
4
= 
.
0 () =
−
2
4
 − 2
4 2 − 2

2 − 24.
Therefore, 0 () = 0 ⇒ −3 + 2 = 0 ⇒  = 3. Since 0 ()  0 for   3 and 0 ()  0 for   3, there
is an absolute maximum when  = 3. But then 2 + 3 = , so  = 3 ⇒  =  ⇒ the triangle is equilateral.
72. From Exercise 57, with  replacing 8 for the “under river” cost (measured in $100,000), we see that  0 () = 0
√
4 2 + 4 =  ⇔ 162 + 64 =  2 2
have () = (6 − )4 +
⇔ 64 = ( 2 − 16)2
⇔
8
. Also from Exercise 57, we
⇔ = √
 2 − 16
√
2 + 4 . We now compare costs for using the minimum distance possible under the river
[ = 0] and using the critical number above. (0) = 24 + 2 and




32
32
64
4 2
8
√
 √
+
4

=
24
−

= 24 − √
+
+
 2 − 16
 2 − 16
 2 − 16
 2 − 16
 2 − 16
√
32
2 2
2( 2 − 16)
= 24 − √
+√
= 24 + √
= 24 + 2  2 − 16
 2 − 16
 2 − 16
 2 − 16


√
8
Since  2 − 16  , we see that  √
 (0) for any cost , so the minimum distance possible for the
 2 − 16
“under river” portion of the pipeline should never be used.
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°
SECTION 4.7
73. (a)
2
2
+ 2 =1 ⇒
2


2
2  0
=− 2
2

2 
2 
. At ( ),  0 = − 2 , and an equation of the
2
 
 
⇒ 0 = −
=−
2 
2 
2 2
(
−
)
⇔

=
−

+
+
2 
2 
2 
⇔
2 
2 2 + 2  2
+
. The last term is the ­intercept, but not the term we
2
 
2 
want, namely 2 . Since ( ) is on the ellipse, we know
the ­intercept by 2 2 , so divide all terms by 2 2 .
=
449
2 2  0
+ 2 =0 ⇒
2

Using implicit differentiation,
tangent line is  −  = −
tangent line has equation  = −
¤
OPTIMIZATION PROBLEMS
2
2
+
= 1. To use that relationship we must divide 2 2 in
2
2
(2 2 + 2  2 )2 2
2 2 +  2 2
1
2
. So the
=
=
=
(2 )2 2
2
2

2 
2
2 
2
 + . Let  = 0 and solve for  to find that ­intercept: 2  =
2
 

 

⇔
2
2 2 
=
.
2 



(b) The portion of the tangent line cut off by the coordinate axes is the distance between the intercepts, 2  0 and
 2 
0   :

2
2
=1− 2
2


2

2
 2 2  4

4
2
2

+ −
=
+ 2 . To eliminate  or , we turn to the relationship 2 + 2 = 1 ⇔
2





⇔  2 = 2 −
distance. () =
2 2
2
⇔ 2 =
2 (2 − 2 )
. Now substitute for  2 and use the square  of the
2
4
4 2
2 2
4
= 2 + 2
+ 2 2
for 0    . Note that as  → 0 or  → , () → ∞,
2
2

 ( −  )

 − 2
so the minimum value of  must occur at a critical number. Now  0 () = −
24
22 2 
= 2
3

( − 2 )2
⇔ 2 (2 − 2 )2 = 2 4
⇒
(2 − 2 ) = 2
24
22 2 
+ 2
and  0 () = 0 ⇔
3

( − 2 )2
⇔ 3 = ( + )2
⇔ 2 =
3
.
+
Substitute for 2 in ():
2 2 ( + )
2 2
4 ( + )
2 2 ( + )
( + )
4
+
+
=
+
=
3
3
3
2 ( + ) − 3
1
2 


2 −
+
+
= ( + ) + ( + ) = ( + )( + ) = ( + )2
Taking the square root gives us the desired minimum length of  + .
1
(c) The triangle formed by the tangent line and the coordinate axes has area  =
2
square of the area and substitute for  2 .  =

2



2
. As in part (b), we’ll use the

6 2
4 4
4 4 2
= 2 2
. Minimizing  (and hence )
= 2 2 2
2
2
2
4 
4  ( −  )
4 ( − 2 )
is equivalent to maximizing 2 (2 − 2 ). Let  () = 2 (2 − 2 ) = 2 2 − 4 for 0    . As in part (b), the
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
450
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
minimum value of  must occur at a critical number. Now  0 () = 22  − 43 = 2(2 − 22 ).  0 () = 0 ⇒
√
6 2
6 2
 = 4 = 2 2 = ()2 .
2 = 2 2 ⇒  =  2 [  0]. Substitute for 2 in ():  2 
2



2 −
4
2
2
Taking the square root gives us the desired minimum area of .
74. See the figure. The area is given by
 √

 √
√

2 2 − 2  + 12 2 2 − 2
2 + 2 − 2
√
√


= 2 − 2  + 2 + 2 − 2
() =
1
2
for 0 ≤  ≤ . Now


√
√



−
+  + 2 + 2 − 2 √
0 () = 2 − 2 1 + √
2
2
2
 + −
2 − 2
=0 ⇔
√


√

 √

 + 2 + 2 − 2
√
√
.
 + 2 + 2 − 2 = 2 − 2
2 − 2
2 + 2 − 2
√
Except for the trivial case where  = 0,  =  and () = 0, we have  + 2 + 2 − 2  0. Hence, cancelling this
√
√

2 − 2
= √
⇒  2 + 2 − 2 = 2 − 2 ⇒
factor gives √
2 − 2
2 + 2 − 2
2 (2 + 2 − 2 ) = 4 − 22 2 + 4
⇒ 2 (2 − 2 ) = 4 − 22 2
⇒ 2(2 + 2 ) = 4
2
⇒ = √
.
2 + 2
Now we must check the value of  at this point as well as at the endpoints of the domain to see which gives the maximum
√
value. (0) =  2 − 2 , () = 0 and



 
2
2


2
2
2



2
√
√
= 2 − √
+
+ 2 − 2 
 √
2 + 2
2 + 2
2 + 2
2 + 2

= √
2
 + 2
Since  ≥

2
2
√
+√
2
2
2
 +
 + 2

=
(2 + 2 )
= 
2 + 2
√

 √
2
2 − 2 ,  2 2 + 2 ≥  (0). So there is an absolute maximum when  = √
. In this case the
2
 + 2
√
2
2 + 2
horizontal piece should be √
and the vertical piece should be √
= 2 + 2 .
2 + 2
2 + 2
75. Note that || = | | + | |
⇒ 5 =  + | | ⇒ | | = 5 − .
Using the Pythagorean Theorem for ∆  and ∆  gives us


() = | | + | | + | | =  + (5 − )2 + 22 + (5 − )2 + 32
√
√
=  + 2 − 10 + 29 + 2 − 10 + 34 ⇒
−5
−5
0 () = 1 + √
+√
. From the graphs of 
2 − 10 + 29
2 − 10 + 34
and 0 , it seems that the minimum value of  is about (359) = 935 m.
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°
SECTION 4.7
OPTIMIZATION PROBLEMS
¤
76. We note that since  is the consumption in gallons per hour, and  is the velocity in miles per hour, then
gallonshour
gallons

=
=
gives us the consumption in gallons per mile, that is, the quantity . To find the minimum,

mileshour
mile



−

      −  


=
=
we calculate
=
.

 
2
2
This is 0 when 

−=0 ⇔



= . This implies that the tangent line


of () passes through the origin, and this occurs when  ≈ 53 mih. Note that
the slope of the secant line through the origin and a point ( ()) on the graph
is equal to (), and it is intuitively clear that  is minimized in the case where
the secant is in fact a tangent.
The total time is
77.
 () = (time from  to ) + (time from  to )

√
2 + ( − )2
2 + 2
+
, 0
=
1
2
 0 () =

−
sin 1
sin 2
√
− 
=
−
1
2
1 2 + 2
2 2 + ( − )2
The minimum occurs when  0 () = 0 ⇒
equivalently,
sin 1
sin 2
=
, or,
1
2
1
sin 1
= . [Note:  00 ()  0]
sin 2
2
If  = | |, we minimize  (1 ) = | | + || =  csc 1 +  csc 2 .
78.
Differentiating with respect to 1 , and setting

equal to 0, we get
1
2

= 0 = − csc 1 cot 1 −  csc 2 cot 2
.
1
1
So we need to find an expression for
2
. We can do this by observing that | | = constant =  cot 1 +  cot 2 .
1
Differentiating this equation implicitly with respect to 1 , we get − csc2 1 −  csc2 2
2
=0 ⇒
1
 csc2 1

2
=−
. We substitute this into the expression for
to get
1
 csc2 2
1


csc2 1 cot 2
 csc2 1
=0 ⇔
− csc 1 cot 1 −  csc 2 cot 2 −
= 0 ⇔ − csc 1 cot 1 + 
2
 csc 2
csc 2
cot 1 csc 2 = csc 1 cot 2
⇔
cot 1
cot 2
=
csc 1
csc 2
⇔ cos 1 = cos 2 . Since 1 and 2 are both acute, we
have 1 = 2 .
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
451
452
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
 2 = 2 +  2 , but triangles  and  are similar, so
 √

√
8 =  4  − 4
⇒  = 2  − 4. Thus, we minimize
79.
 () =  2 = 2 + 42 ( − 4) = 3 ( − 4), 4   ≤ 8.
 0 () =
( − 4)(32 ) − 3
2 [3( − 4) − ]
22 ( − 6)
=
=
=0
( − 4)2
( − 4)2
( − 4)2
when  = 6.  0 ()  0 when   6,  0 ()  0 when   6, so the minimum
occurs when  = 6 in.
Paradoxically, we solve this maximum problem by solving a minimum problem.
80.
Let  be the length of the line  going from wall to wall touching the inner
corner . As  → 0 or  →

,
2
we have  → ∞ and there will be an angle that
makes  a minimum. A pipe of this length will just fit around the corner.
From the diagram,  = 1 + 2 = 9 csc  + 6 sec 
6 sec  tan  = 9 csc  cot 
csc2  = 1 +
 3 −23
2
Or, use  = tan−1
⇔ tan3  =
9
6
⇒  = −9 csc  cot  + 6 sec  tan  = 0 when
= 15 ⇔ tan  =
√
 23
3
15. Then sec2  = 1 + 32
and


 −23 12
 23 12
, so the longest pipe has length  = 9 1 + 32
+ 6 1 + 32
≈ 2107 ft.
√

3
15 ≈ 0853 ⇒  = 9 csc  + 6 sec  ≈ 2107 ft.
81.
 = ( + ) −  = arctan

3
− arctan
1
1
⇒ 0 =
3
1
−
.
1 + 92
1 + 2
3
1
=
⇒ 3 + 32 = 1 + 92
1 + 92
1 + 2
√
2 = 13 ⇒  = 1 3. Thus,
√
√
 = arctan 3 3 − arctan 1 3 = 3 − 6 = 6 .
0 = 0 ⇒
⇒ 2 = 62
82. We maximize the cross­sectional area


() = 10 + 2 12  = 10 +  = 10(10 sin ) + (10 cos )(10 sin )
= 100(sin  + sin  cos ), 0 ≤  ≤

2
0 () = 100(cos  + cos2  − sin2 ) = 100(cos  + 2 cos2  − 1)
= 100(2 cos  − 1)(cos  + 1) = 0 when cos  =
1
2
⇔
=

3
[ cos  6= −1 since 0 ≤  ≤
√
 
 
Now (0) = 0,  2 = 100 and  3 = 75 3 ≈ 1299, so the maximum occurs when  =

.]
2

.
3
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
⇒
SECTION 4.7
¤
OPTIMIZATION PROBLEMS
453
2
5
and tan  =
. Since

3−
 


5
2
 +  +  = 180◦ = ,  =  − tan−1
− tan−1
⇒

3−




5
1
2
1

=−
2
 2 − 2 −



(3 − )2
5
2
1+
1+

3−
From the figure, tan  =
83.
=
Now

=0

2
5
2
2
(3 − )2
· 2 −
·
.
+ 25 
(3 − )2 + 4 (3 − )2
5
2
= 2
2 + 25
 − 6 + 13
⇒
⇒ 22 + 50 = 52 − 30 + 65 ⇒
√
2 − 10 + 5 = 0 ⇒  = 5 ± 2 5. We reject the solution with the + sign, since it is
√
√
larger than 3.   0 for   5 − 2 5 and   0 for   5 − 2 5, so  is maximized when
√
| | =  = 5 − 2 5 ≈ 053.
32 − 30 + 15 = 0
⇒
84. Let  be the distance from the observer to the wall. Then, from the text figure,
 = tan−1

+


− tan−1
 

, 0 ⇒





+
1

+
1


−
−
−
=− 2
=
+ 2

1 + [( + )]2
2
1 + ()2
2
 + ( + )2
 + 2
=
2 = 2  + 2
for all  
85.
2  + 2 − 2
[2 + ( + )2 ] − ( + )(2 + 2 )
= 2
=0 ⇔
[2 + ( + )2 ](2 + 2 )
[ + ( + )2 ](2 + 2 )
⇔ 2 =  + 2
⇔ =


( + ). Since   0 for all   ( + ) and   0


( + ), the absolute maximum occurs when  = ( + ).
In the small triangle with sides  and  and hypotenuse  , sin  =

and

cos  =


. In the triangle with sides  and  and hypotenuse , sin  = and


cos  =

. Thus,  =  sin ,  =  cos ,  =  sin , and  =  cos , so the

area of the circumscribed rectangle is
() = ( + )( + ) = ( sin  +  cos )( cos  +  sin )
=  2 sin  cos  +   sin2  +  cos2  + 2 sin  cos 
=  sin2  +  cos2  + (2 +  2 ) sin  cos 
=  (sin2  + cos2 ) + (2 +  2 ) ·
1
2
· 2 sin  cos  =  + 12 (2 +  2 ) sin 2, 0 ≤  ≤
This expression shows, without calculus, that the maximum value of () occurs when sin 2 = 1 ⇔ 2 =

2
 
 = 4 . So the maximum area is  4 =  + 12 (2 +  2 ) = 12 (2 + 2 +  2 ) = 12 ( +  )2 .
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°

2
⇒
454
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
86. (a) Let  be the point such that  = ||. From the text figure, sin  =
cos  =
 − ||
||
=
||
||

||
⇒ || =  csc  and
⇒ || = ( − ||) sec . Eliminating || gives
⇒  cot  =  − || ⇒ || =  −  cot . The total resistance is


||
 csc 
||
 −  cot 
.
+
() =  4 +  4 = 
1
2
14
24
( − ||) sec  =  csc 
(b) 0 () = 

 csc2 
 csc  cot 
−
14
24
0 () = 0 ⇔
csc 
cot 
= 4
14
2
csc 
cot 
 4
14
2

when cos  = 24 14 .
0 ()  0 ⇔
(c) When 2 = 23 1 , we have cos  =

=  csc 

cot 
csc 
−
.
14
24
24
cot 
= cos .
=
14
csc 
⇔
⇒ cos  
 2 4
3

24
24
0
4 and  ()  0 when cos   4 , so there is an absolute minimum
1
1
, so  = cos−1
87. (a)
 2 4
3
≈ 79◦ .
If  = energykm over land, then energykm over water = 14.
√
So the total energy is  = 14 25 + 2 + (13 − ), 0 ≤  ≤ 13,
and so
Set

= 0: 14 = (25 + 2 )12


14
=
− .

(25 + 2 )12
⇒ 1962 = 2 + 25 ⇒ 0962 = 25 ⇒  =
√5
096
≈ 51.
Testing against the value of  at the endpoints: (0) = 14(5) + 13 = 20, (51) ≈ 179, (13) ≈ 195.
Thus, to minimize energy, the bird should fly to a point about 51 km from .
(b) If  is large, the bird would fly to a point  that is closer to  than to  to minimize the energy used flying over water.
If  is small, the bird would fly to a point  that is closer to  than to  to minimize the distance of the flight.
√
√



25 + 2
= √
=
. By the same sort of
 =  25 + 2 + (13 − ) ⇒
−  = 0 when
2



25 + 
argument as in part (a), this ratio will give the minimal expenditure of energy if the bird heads for the point  km from .
(c) For flight direct to ,  = 13, so from part (b),  =
√
25 + 132
13
≈ 107. There is no value of  for which the bird
should fly directly to . But note that lim () = ∞, so if the point at which  is a minimum is close to , then
→0+
 is large.
(d) Assuming that the birds instinctively choose the path that minimizes the energy expenditure, we can use the equation for
√
 = 0 from part (a) with 14 = ,  = 4, and  = 1: (4) = 1 · (25 + 42 )12 ⇒  = 414 ≈ 16.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
SECTION 4.7
88. (a) () ∝
() =
OPTIMIZATION PROBLEMS
¤
455
strength of source
. Adding the intensities from the left and right lightbulbs,
(distance from source)2




+
= 2
+ 2
.
2 + 2
 + 2
 − 20 + 100 + 2
(10 − )2 + 2
(b) The magnitude of the constant  won’t affect the location of the point of maximum intensity, so for convenience we take
 = 1.  0 () = −
2
2( − 10)
− 2
.
(2 + 2 )2
( − 20 + 100 + 2 )2
Substituting  = 5 into the equations for ()and  0 (), we get
5 () =
1
1
+
2 + 25 2 − 20 + 125
and
50 () = −
2
2( − 10)
− 2
(2 + 25)2
( − 20 + 125)2
From the graphs, it appears that 5 () has a
minimum at  = 5 m.
(c) Substituting  = 10 into the equations for () and  0 () gives
10 () =
1
1
+
2 + 100 2 − 20 + 200
and
0
10
() = −
2
2 ( − 10)
−
(2 + 100)2
(2 − 20 + 200)2
From the graphs, it seems that for  = 10, the
intensity is minimized at the endpoints, that is,
 = 0 and  = 10. The midpoint is now the
most brightly lit point!
(d) From the first figures in parts (b) and (c), we see that the minimal illumination changes from the midpoint ( = 5 with
 = 5) to the endpoints ( = 0 and  = 10 with  = 10).
So we try  = 6 (see the first figure) and we see that the minimum value still occurs at  = 5. Next, we let  = 8 (see the
second figure) and we see that the minimum value occurs at the endpoints. It appears that for some value of  between 6
and 8, we must have minima at both the midpoint and the endpoints, that is, (5) must equal (0). To find this value of ,
we solve (0) = (5) (with  = 1):
1
1
1
2
1
+
=
+
=
2
100 + 2
25 + 2
25 + 2
25 + 2
2500 + 1252 + 4 + 252 + 4 = 2002 + 24
⇒ (25 + 2 )(100 + 2 ) + 2 (25 + 2 ) = 22 (100 + 2 ) ⇒
⇒ 2500 = 502
⇒ 2 = 50 ⇒  = 5
√
2 ≈ 7071
[for 0 ≤  ≤ 10]. The third figure, a graph of (0) − (5) with  independent, confirms that (0) − (5) = 0, that is,
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
456
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
√
(0) = (5), when  = 5 2. Thus, the point of minimal illumination changes abruptly from the midpoint to the
√
endpoints when  = 5 2.
APPLIED PROJECT
The Shape of a Can
1. In this case, the amount of metal used in the making of each top or bottom is (2)2 = 42 . So the quantity we want to
minimize is  = 2 + 2(42 ). But  = 2  ⇔  = 2 . Substituting this expression for  in  gives
 = 2  + 82 . Differentiating  with respect to , we get  = −22 + 16 = 0 ⇒
163 = 2 = 22  ⇔
8
2 

4
= ≈ 255. This gives a minimum because
= 16 + 3  0.


2

We need to find the area of metal used up by each end, that is, the area of each
2.
hexagon. We subdivide the hexagon into six congruent triangles, each sharing one
side ( in the diagram) with the hexagon. We calculate the length of
 = 2 tan 6 =
√2 ,
3
so the area of each triangle is 12  =
area of the hexagon is 6 ·
√1  2
3
=2
√1  2 ,
3
and the total
√ 2
3  . So the quantity we want to minimize
√ 2
√
2

= − 2 + 8 3 .
3  . Substituting for  as in Problem 1 and differentiating, we get


√
√ 3
4

3
=
≈ 221. Again this minimizes  because
Setting this equal to 0, we get 8 3  = 2 = 22  ⇒


√
4
2 
= 8 3 + 3  0.
2






√ 2
√ 2


3. Let  = 4 3  + 2 +  (4 + ) = 4 3  + 2
+  4 + 2 . Then
2

√
2
2


= 8 3  − 2 + 4 −
. Setting this equal to 0, dividing by 2 and substituting 2 =  and


3

√



⇔
= in the second and fourth terms respectively, we get 0 = 4 3  −  + 2 −
3





√
√


3
3
√

 2 − 

 

3 
√ = 1. We now multiply by
, noting that
=
,
 2 −
= 3
=  − 4 3  ⇒

  − 4 3

 
3


√
3
2 − 


√ .
= 3
·
and get

  − 4 3
is  = 2 + 2 · 2
Let
4.
√
√
3
  =  and  =  so that  () = 3  ·
the graph of  that when the ratio
2 − 
√ . We see from
 − 4 3
√
3
  is large; that is, either the volume of
the can is large or the cost of joining (proportional to ) is small, the optimum
√
3
  is small, indicating small volume
√
or expensive joining, the optimum value of  is larger. (The part of the graph for 3    0 has no physical meaning, but
value of  is about 221, but when
confirms the location of the asymptote.)
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°
APPLIED PROJECT
PLANES AND BIRDS: MINIMIZING ENERGY
¤
457
5. Our conclusion is usually true in practice. But there are exceptions, such as cans of tuna, which may have to do with the shape
of a reasonable slice of tuna. And for a comfortable grip on a soda or beer can, the geometry of the human hand is a restriction
on the radius. Other possible considerations are packaging, transportation and stocking constraints, aesthetic appeal and other
marketing concerns. Also, there may be better models than ours which prescribe a differently shaped can in special
circumstances.
APPLIED PROJECT
Planes and Birds: Minimizing Energy
2
⇒
3

14

2
22
2
4 
=
.  00 () = 6 +

0,
so
the
speed
that
minimizes
the
required
power
is

=
.

3
3
3
1.  () = 3 +
2. () =
2

⇒  0 () = 32 −
 ()
2
= 2 + 2


2
2
  0 () = 0 ⇔ 32 = 2
2


⇒  0 () = 2 −
⇔ 4 =
22
22
.  0 () = 0 ⇔ 2 =
3

3
⇔ 4 =
2

⇒

62
2
.  00 () = 2 +
 0, so the speed that minimizes the energy needed to propel the plane is

4
14

2
 =
.

=
3.
4

2

14

= 
14

2
3

14
2


=   2  = 314 ≈ 1316. Thus,  ≈ 1316  , so the speed for minimum energy is about

3
316% greater (faster) than the speed for minimum power.
4. Since  is the fraction of flying time spent in flapping mode, 1 −  is the fraction of time spent in folded mode. The average
power  is the weighted average of flap and fold , so


()2
+ (1 − )  3
 = flap + (1 − )fold =  ( +  )  3 +

=   3 +   3 + 
2 2
2  2
+   3 −   3 =   3 +   3 +
2
 

2 2
2 2
2  2
0
0
3
⇒  () =   3 −
.
⇔

()
=
0
⇔


=


2 
2 


22  2

00
 0, this critical number, call it  , gives an absolute
⇒ = 2
. Since  () =


3 
5.  () =   3 +   3 +
2 =
2 2
  4
minimum for the average power. If the bird flies slowly, then  is smaller and   increases, and the bird spends a larger
fraction of its flying time flapping. If the bird flies faster and faster, then  is larger and   decreases, and the bird spends a
smaller fraction of its flying time flapping, while still minimizing average power.
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°
458
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
1 0
0
0
 (), so  () = 0 ⇔  () = 0. The value of  that minimizes  is the same value




.
of  that minimizes  , namely  = 2


6. () =
 ()

0
⇒  () =
4.8 Newton's Method
1. (a)
The tangent line at 1 = 6 intersects the ­axis at  ≈ 73, so 2 = 73. The
tangent line at  = 73 intersects the ­axis at  ≈ 68, so 3 ≈ 68.
(b) 1 = 8 would be a better first approximation because the tangent line at  = 8 intersects the ­axis closer to  than does
the first approximation 1 = 6.
The tangent line at 1 = 1 intersects the ­axis at  ≈ 35, so 2 = 35.
2.
The tangent line at  = 35 intersects the ­axis at  ≈ 28, so 3 = 28.
3. Since the tangent line  = 9 − 2 is tangent to the curve  =  () at the point (2 5), we have 1 = 2, (1 ) = 5, and
 0 (1 ) = −2 [the slope of the tangent line]. Thus, by Equation 2,
2 = 1 −
Note that geometrically
9
2
5
9
 (1 )
=2−
=
 0 (1 )
−2
2
represents the ­intercept of the tangent line  = 9 − 2.
(b)
4. (a)
If 1 = 0, then 2 is negative, and 3 is even more
If 1 = 1, the tangent line is horizontal and Newton’s
negative. The sequence of approximations does not
method fails.
converge, that is, Newton’s method fails.
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°
SECTION 4.8 NEWTON’S METHOD
(c)
¤
459
(d)
If 1 = 3, then 2 = 1 and we have the same situation
If 1 = 4, the tangent line is horizontal and Newton’s
as in part (b). Newton’s method fails again.
method fails.
(e)
If 1 = 5, then 2 is greater than 6, 3 gets closer to 6, and
the sequence of approximations converges to 6. Newton’s
method succeeds!
5. The initial approximations 1 =  , and  will work, resulting in a second approximation closer to the origin, and lead to the
solution of the equation  () = 0, namely,  = 0. The initial approximation 1 =  will not work because it will result in
successive approximations farther and farther from the origin.
6.  () = 23 − 32 + 2
2 = −1 −
⇒  0 () = 62 − 6, so +1 =  −
−3
3
2(−1)3 − 3(−1)2 + 2
= −1 −
=−
6(−1)2 − 6(−1)
12
4
23 − 32 + 2
. Now 1 = −1 ⇒
62 − 6
⇒
 3
 2
2 − 34 − 3 − 34 + 2
−1732
43
3
3
3 = − −
=−
≈ −06825.
=− −
 3 2
 
4
4
638
63
6 − 4 − 6 − 34
7.  () =
2
2
2 − 2 + 1
− 2 + 1 ⇒  0 () = − 2 − 2, so +1 =  −
. Now 1 = 2 ⇒


−22 − 2
2 = 2 −
−2
14
1−4+1
=2−
=
−12 − 4
−92
9
⇒ 3 =
2 (149) − (149)2 + 1
14
−
≈ 15215.
9
−2 (149)2 − 2 (149)
8. Solving 5 = 2 + 1 is the same as solving () = 5 − 2 − 1 = 0.  0 () = 54 − 2, so +1 =  −
Now, 1 = 1 ⇒ 2 = 1 −
−1
4
15 − 12 − 1
=1−
=
5(1)4 − 2(1)
3
3
⇒ 3 =
5 − 2 − 1
.
54 − 2
(43)5 − (43)2 − 1
4
−
 12240.
3
5(43)4 − 2(43)
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°
460
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
9.  () = 3 +  + 3
⇒
 0 () = 32 + 1, so +1 =  −
3 +  + 3

32 + 1
Now 1 = −1 ⇒
2 = −1 −
−1 − 1 + 3
1
(−1)3 + (−1) + 3
= −1 −
= −1 − = −125.
3(−1)2 + 1
3+1
4
Newton’s method follows the tangent line at (−1 1) down to its intersection with
the ­axis at (−125 0), giving the second approximation 2 = −125.
⇒  0 () = 43 − 1, so +1 =  −
10.  () = 4 −  − 1
4 −  − 1
.
43 − 1
−1
4
14 − 1 − 1
=1−
= . Newton’s method
4 · 13 − 1
3
3


follows the tangent line at (1 −1) up to its intersection with the ­axis at 43  0 ,
Now 1 = 1 ⇒ 2 = 1 −
giving the second approximation 2 = 43 .
11. To approximate  =
+1 =  −
√
4
75 (so that 4 = 75), we can take  () = 4 − 75. So  0 () = 43 , and thus,
√
4 − 75
. Since 4 81 = 3 and 81 is reasonably close to 75, we’ll use 1 = 3. We need to find approximations
43
until they agree to eight decimal places. 1 = 3 ⇒ 2 = 294, 3 ≈ 294283228, 4 ≈ 294283096 ≈ 5 . So
√
4
75 ≈ 294283096, to eight decimal places.
To use Newton’s method on a calculator, assign  to Y1 and  0 to Y2 . Then store 1 in X and enter X − Y1 Y2 → X to
get 2 and further approximations (repeatedly press ENTER).
12.  () = 8 − 500
⇒  0 () = 87 , so +1 =  −
√
8 − 500
. Since 8 256 = 2 and 256 is reasonably close to 500,
7
8
we’ll use 1 = 2. We need to find approximations until they agree to eight decimal places. 1 = 2 ⇒ 2 ≈ 223828125,
√
3 ≈ 218055972, 4 ≈ 217461675, 5 ≈ 217455928 ≈ 6 . So 8 500 ≈ 217455928, to eight decimal places.
13. (a) Let  () = 34 − 83 + 2. The polynomial  is continuous on [2 3],  (2) = −14  0, and (3) = 29  0, so by the
Intermediate Value Theorem, there is a number  in (2 3) such that () = 0. In other words, the equation
34 − 83 + 2 = 0 has a solution in [2 3].
(b)  0 () = 123 − 242
⇒ +1 =  −
34 − 83 + 2
. Taking 1 = 25, we get 2 = 2655, 3 ≈ 2630725,
123 − 242
4 ≈ 2630021, 5 ≈ 2630020 ≈ 6 . To six decimal places, the solution is 2630020. Note that taking 1 = 2 is not
allowed since  0 (2) = 0.
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°
SECTION 4.8 NEWTON’S METHOD
¤
461
14. (a) Let  () = −25 + 94 − 73 − 11. The polynomial  is continuous on [3 4],  (3) = 21  0, and  (4) = −236  0,
so by the Intermediate Value Theorem, there is a number  in (3 4) such that  () = 0. In other words, the equation
−25 + 94 − 73 − 11 = 0 has a solution in [3 4].
(b)  0 () = −104 + 363 − 212 − 11. +1 =  −
−25 + 94 − 73 − 11
. Taking 1 = 35, we get
−104 + 363 − 212 − 11
2 ≈ 3329174, 3 = 3278706, 4 ≈ 3274501, and 5 ≈ 3274473 ≈ 6 . To six decimal places, the solution is
3274473.
15.
From the graph, we see that the negative solution of cos  = 2 − 4 is near  = −2.
Solving cos  = 2 − 4 is the same as solving () = cos  − 2 + 4 = 0.
 0 () = − sin  − 2, so +1 =  −
cos  − 2 + 4
. 1 = −2 ⇒
− sin  − 2
2  −1.915233, 3  −1.914021  4 . Thus, the negative solution is −1.914021,
to six decimal places.
16.
From the graph, we see that the positive solution of 2 =  + 3 is near  = 1.
Solving 2 =  + 3 is the same as solving  () = 2 −  − 3 = 0.
 0 () = 22 − 1, so +1 =  −
2 −  − 3
. 1 = 1 ⇒
22 − 1
2  0.754026, 3  0.658965, 4  0.647110, 5  0.646945  6 . Thus, the
positive solution is 0.646945, to six decimal places.
17.
From the graph, we see that there appears to be a point of intersection near  = 2.
Solving sin  =  − 1 is the same as solving  () = sin  −  + 1 = 0.
 0 () = cos  − 1, so +1 =  −
sin  −  + 1
. 1 = 2 ⇒
cos  − 1
2  1.935951, 3  1.934564, 4  1.934563  5 . Thus, the solution is
1.934563, to six decimal places.
18.
From the graph, we see that there appears to be a point of intersection near  = 05.
Solving cos 2 = 3 is the same as solving  () = cos 2 − 3 = 0.
 0 () = −2 sin 2 − 32 , so +1 =  −
cos 2 − 3
. 1 = 05 ⇒
−2 sin 2 − 32
2  0.670700, 3  0.648160, 4  0.647766, 5  0.647765  6 . Thus, the
solution 0.647765, to six decimal places.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
462
19.
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
From the figure, we see that the graphs intersect between −2 and −1 and
between 0 and 1. Solving 2 = 2 − 2 is the same as solving
 () = 2 − 2 + 2 = 0.  0 () = 2 ln 2 + 2, so
+1 =  −
2 − 2 + 2
.
2 ln 2 + 2
1 = −1
1 = 1
2 ≈ −1302402
2 ≈ 0704692
3 ≈ −1258636
3 ≈ 0654915
4 ≈ −1257692
4 ≈ 0653484
5 ≈ −1257691 ≈ 6
5 ≈ 0653483 ≈ 6
To six decimal places, the solutions of the equation are −1257691 and 0653483.
20.
From the figure, we see that the graphs intersect between 0 and 1 and between 3
and 4. Solving ln  =
 0 () =
1
1
is the same as solving  () = ln  −
= 0.
−3
−3
1
1
ln  − 1( − 3)
+
, so +1 =  −
.
 ( − 3)2
(1 ) + 1( − 3)2
1 = 1
1 = 4
2 ≈ 06
2 ≈ 3690965
3 ≈ 0651166
3 ≈ 3750726
4 ≈ 0653057
4 ≈ 3755672
5 ≈ 0653060 ≈ 6
5 ≈ 3755701 ≈ 6
To six decimal places, the solutions of the equation are 0653060 and 3755701.
21.
From the figure, we see that there appear to be points of intersection near
 = −1 and  = 2. Solving arctan  = 2 − 3 is the same as solving
() = arctan  − 2 + 3 = 0.  0 () =
+1 =  −
1
− 2, so
1 + 2
arctan  − 2 + 3
.
1
−
2

1 + 2
1 = −1
1 = 2
2  −1.485841
2  2.028197
3  −1.429153
3  2.027975  4
4  −1.428293  5
To six decimal places, the solutions of the equation are −1.428293 and 2.027975.
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°
¤
SECTION 4.8 NEWTON’S METHOD
From the figure, we see that there appear to be points of intersection near
22.
 = −2,  = 1, and  = 2. Solving 3 = 5 − 3 is the same as solving
 () = 3 − 5 + 3 = 0.  0 () = 32 − 5, so
+1 =  −
3 − 5 + 3
.
32 − 5
1 = −2
1 = 1
1 = 2
2  −2714286
2 = 05
2  1857143
3  −2513979
3  0647059
3  1834787
4  −2491151
4  0656573
4  1834244
5  −2490864  6
5  0656620  6
5  1834243  6
To six decimal places, the solutions of the equation are −2.490864, 0.656620, and 1.834243.
 () = −27 − 54 + 93 + 5 ⇒
23.
+1 =  −
 0 () = −146 − 203 + 272
−27 − 54 + 93 + 5
.
−146 − 203 + 272
From the graph of  , there appear to be solutions near −17, −07, and 13.
1 = −17
1 = −07
1 = 13
2 = −1693255
2 ≈ −074756345
2 = 1268776
3 ≈ −169312035
3 ≈ −074467752
3 ≈ 126589387
4 ≈ −169312029 ≈ 5
4 ≈ −074466668 ≈ 5
4 ≈ 126587094 ≈ 5
To eight decimal places, the solutions of the equation are −169312029, −074466668, and 126587094.
 () = 5 − 34 + 3 − 2 −  + 6 ⇒
24.
 0 () = 54 − 123 + 32 − 2 − 1 ⇒
+1 =  −
5 − 34 + 3 − 2 −  + 6
. From the graph of  , there
54 − 123 + 32 − 2 − 1
appear to be solutions near −1, 13, and 27.
1 = −1
1 = 13
1 = 27
2 ≈ −104761905
2 ≈ 133313045
2 ≈ 270556135
3 ≈ −104451724
3 ≈ 133258330
4 ≈ −104450307 ≈ 5
3 ≈ 270551210
4 ≈ 133258316 ≈ 5
4 ≈ 270551209 ≈ 5
To eight decimal places, the solutions of the equation are −104450307, 133258316, and 270551209.
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°
⇒
463
464
25.
¤
CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
Solving
√

= 1 −  is the same as solving
2 + 1
√

1 − 2
1
0
−
1
−

=
0.

()
=
+ √
2 + 1
(2 + 1)2
2 1−
√

− 1 − 
2 + 1
=  −
.
1
1 − 2
√
+
2 1 − 
(2 + 1)2
 () =
+1
⇒
From the graph, we see that the curves intersect at about 08. 1 = 08 ⇒ 2 ≈ 076757581, 3 ≈ 076682610,
4 ≈ 076682579 ≈ 5 . To eight decimal places, the solution of the equation is 076682579.
26.
Solving cos(2 − ) = 4 is the same as solving
 () = cos(2 − ) − 4 = 0.  0 () = −(2 − 1) sin(2 − ) − 43
+1 =  −
⇒
cos(2 −  ) − 4
. From the equations
−(2 − 1) sin(2 −  ) − 43
 = cos(2 − ) and  = 4 and the graph, we deduce that one solution of the
equation cos(2 − ) = 4 is  = 1. We also see that the graphs intersect at
approximately  = −07. 1 = −07 ⇒ 2 ≈ −073654354, 3 ≈ −073486274, 4 ≈ −073485910 ≈ 5 .
To eight decimal places, one solution of the equation is −073485910; the other solution is 1.
27.
From the graph, we see that the curves intersect at approximately  = −08
√
2
and  = 08. Solving 4 − 3 =  is the same as solving
√
2
 () = 4 − 3 −  = 0.
2
2
1
32
· (−32 ) −  · 2 = − √
− 2
 0 () = √
3
2 4−
2 4 − 3
⇒ +1 =  −
1 = −08
1 = 08

2
4 − 3 − 
.
32
2
−  
− 2 
2 4 − 3
2 = −088815983
2  079186616
3  −087842996
3  079177078
4  −087828296
4  079177077  5
5  −087828292  6
To eight decimal places, the solutions of the equation are −087828292 and 079177077.
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°
SECTION 4.8 NEWTON’S METHOD
¤
465
3
is the same as solving
Solving ln(2 + 2) = √
2 + 1
28.
3
= 0.
 () = ln(2 + 2) − √
2 + 1
 0 () =
=
(2 + 1)12 (3) − (3) 12 (2 + 1)−12 (2)
2
−
2 + 2
[(2 + 1)12 ]2
(2 + 1)−12 [3(2 + 1) − 32 ]
2
−
2 + 2
(2 + 1)1
3
2
− 2
= 2
 +2
( + 1)32
⇒ +1
3
ln(2 + 2) − √ 2
 + 1
=  −
.
3
2
−
2 + 2
(2 + 1)32
From the figure, we see that the graphs intersect at approximately  = 02 and  = 4.
1 = 02
1 = 4
2 ≈ 024733161
2 ≈ 404993412
3 ≈ 024852333
3 ≈ 405010983
4 ≈ 024852414 ≈ 5
4 ≈ 405010984 ≈ 5
To eight decimal places, the solutions of the equation are 024852414 and 405010984.
29. (a)  () = 2 − 
+1 =  −
⇒  0 () = 2, so Newton’s method gives


2 − 
1

1

1

=  −  +
=  +
=
.
 +
2
2
2
2
2
2

(b) Using (a) with  = 1000 and 1 =
√
So 1000 ≈ 31622777.
30. (a)  () =
√
900 = 30, we get 2 ≈ 31666667, 3 ≈ 31622807, and 4 ≈ 31622777 ≈ 5 .
1
1
1 − 
−  ⇒  0 () = − 2 , so +1 =  −
=  +  − 2 = 2 − 2 .


−12
(b) Using (a) with  = 16894 and 1 =
1
2
= 05, we get 2 = 05754, 3 ≈ 0588485, and 4 ≈ 0588789 ≈ 5 .
So 116984 ≈ 0588789.
31.  () = 3 − 3 + 6
⇒  0 () = 32 − 3. If 1 = 1, then  0 (1 ) = 0 and the tangent line used for approximating 2 is
horizontal. Attempting to find 2 results in trying to divide by zero.
32. 3 −  = 1
⇔ 3 −  − 1 = 0.  () = 3 −  − 1 ⇒  0 () = 32 − 1, so +1 =  −
3 −  − 1
.
32 − 1
(a) 1 = 1, 2 = 15, 3 ≈ 1347826, 4 ≈ 1325200, 5 ≈ 1324718 ≈ 6
(b) 1 = 06, 2 = 179, 3 ≈ 11946802, 4 ≈ 7985520, 5 ≈ 5356909, 6 ≈ 3624996, 7 ≈ 2505589,
8 ≈ 1820129, 9 ≈ 1461044, 10 ≈ 1339323, 11 ≈ 1324913, 12 ≈ 1324718 ≈ 13
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CHAPTER 4
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(c) 1 = 057, 2 ≈ −54165455, 3 ≈ −36114293, 4 ≈ −24082094, 5 ≈ −16063387, 6 ≈ −10721483,
7 ≈ −7165534, 8 ≈ −4801704, 9 ≈ −3233425, 10 ≈ −2193674, 11 ≈ −1496867, 12 ≈ −0997546,
13 ≈ −0496305, 14 ≈ −2894162, 15 ≈ −1967962, 16 ≈ −1341355, 17 ≈ −0870187, 18 ≈ −0249949,
19 ≈ −1192219, 20 ≈ −0731952, 21 ≈ 0355213, 22 ≈ −1753322, 23 ≈ −1189420, 24 ≈ −0729123,
25 ≈ 0377844, 26 ≈ −1937872, 27 ≈ −1320350, 28 ≈ −0851919, 29 ≈ −0200959, 30 ≈ −1119386,
31 ≈ −0654291, 32 ≈ 1547010, 33 ≈ 1360051, 34 ≈ 1325828, 35 ≈ 1324719, 36 ≈ 1324718 ≈ 37 .
From the figure, we see that the tangent line corresponding to 1 = 1 results
(d)
in a sequence of approximations that converges quite quickly (5 ≈ 6 ).
The tangent line corresponding to 1 = 06 is close to being horizontal, so
2 is quite far from the solution. But the sequence still converges — just a
little more slowly (12 ≈ 13 ). Lastly, the tangent line corresponding to
1 = 057 is very nearly horizontal, 2 is farther away from the solution,
and the sequence takes more iterations to converge (36 ≈ 37 )
33. For  () = 13 ,  0 () =
1 −23
3
and
13
+1 =  −
 ( )

=  − 1 −23 =  − 3 = −2 .
 0 ( )

3 
Therefore, each successive approximation becomes twice as large as the
previous one in absolute value, so the sequence of approximations fails to
converge to the solution, which is 0. In the figure, we have 1 = 05,
2 = −2(05) = −1, and 3 = −2(−1) = 2.
34. According to Newton’s Method, for   0,
+1 =  −
+1
√

 √  =  − 2 = − and for   0,
1 2 
√
− − 
 =  − [−2(− )] = − . So we can see that
=  −  √
1 2 −
after choosing any value 1 the subsequent values will alternate between −1
and 1 and never approach the solution.
35. (a)  () = 6 − 4 + 33 − 2
⇒  0 () = 65 − 43 + 92 − 2 ⇒
 00 () = 304 − 122 + 18. To find the critical numbers of  , we’ll find the
zeros of  0 . From the graph of  0 , it appears there are zeros at approximately
 = −13, −04, and 05. Try 1 = −13 ⇒
2 = 1 −
 0 (1 )
≈ −1293344 ⇒ 3 ≈ −1293227 ≈ 4 .
 00 (1 )
Now try 1 = −04 ⇒ 2 ≈ −0443755 ⇒ 3 ≈ −0441735 ⇒ 4 ≈ −0441731 ≈ 5 . Finally try
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°
SECTION 4.8 NEWTON’S METHOD
¤
467
1 = 05 ⇒ 2 ≈ 0507937 ⇒ 3 ≈ 0507854 ≈ 4 . Therefore,  = −1293227, −0441731, and 0507854 are
all the critical numbers correct to six decimal places.
(b) There are two critical numbers where  0 changes from negative to positive, so  changes from decreasing to increasing.
 (−1293227) ≈ −20212 and  (0507854) ≈ −06721, so −20212 is the absolute minimum value of  correct to four
decimal places.
36.  () =  cos 
⇒  0 () = cos  −  sin .  0 () exists for all , so to find
the maximum of  , we can examine the zeros of  0 . From the graph of  0 , we
see that a good choice for 1 is 1 = 09. Use () = cos  −  sin  and
 0 () = −2 sin  −  cos  to obtain 2 ≈ 0860781, 3 ≈ 0860334 ≈ 4 .
Now we have  (0) = 0,  () = −, and  (0860334) ≈ 0561096, so
0561096 is the absolute maximum value of  correct to six decimal places.
37.
 = 2 sin  ⇒  0 = 2 cos  + (sin )(2) ⇒
 00 = 2 (− sin ) + (cos )(2) + (sin )(2) + 2 cos 
= −2 sin  + 4 cos  + 2 sin 
⇒
 000 = −2 cos  + (sin )(−2) + 4(− sin ) + (cos )(4) + 2 cos 
= −2 cos  − 6 sin  + 6 cos .
From the graph of  = 2 sin , we see that  = 15 is a reasonable guess for the ­coordinate of the inflection point. Using
Newton’s method with () =  00 and 0 () =  000 , we get 1 = 15 ⇒ 2 ≈ 1520092, 3 ≈ 1519855 ≈ 4 .
The inflection point is about (1519855 2306964).
38.
 () = − sin  ⇒  0 () = − cos . At  = , the slope of the tangent
line is  0 () = − cos . The line through the origin and (  ()) is
=
− sin  − 0
. If this line is to be tangent to  at  = , then its slope
−0
must equal  0 (). Thus,
− sin 
= − cos  ⇒ tan  = .

To solve this equation using Newton’s method, let () = tan  − ,  0 () = sec2  − 1, and +1 =  −
tan  − 
sec2  − 1
with 1 = 45 (estimated from the figure). 2 ≈ 4493614, 3 ≈ 4493410, 4 ≈ 4493409 ≈ 5 . Thus, the slope of the
line that has the largest slope is  0 (5 ) ≈ 0217234.
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°
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39. We need to minimize the distance from (0 0) to an arbitrary point ( ) on the

curve  = ( − 1)2 .  = 2 +  2 ⇒


() = 2 + [( − 1)2 ]2 = 2 + ( − 1)4 . When 0 = 0,  will be
minimized and equivalently,  = 2 will be minimized, so we will use Newton’s
method with  = 0 and  0 = 00 .
 () = 2 + 4( − 1)3
⇒  0 () = 2 + 12( − 1)2 , so +1 =  −
2 + 4( − 1)3
. Try 1 = 05 ⇒
2 + 12( − 1)2
2 = 04, 3 ≈ 0410127, 4 ≈ 0410245 ≈ 5 . Now (0410245) ≈ 0537841 is the minimum distance and the point on
the parabola is (0410245 0347810), correct to six decimal places.
40. Let the radius of the circle be . Using  = , we have 5 =  and so  = 5. From the Law of Cosines we get
42 = 2 + 2 − 2 ·  ·  · cos 
⇔ 16 = 22 (1 − cos ) = 2(5)2 (1 − cos ). Multiplying by 2 gives
162 = 50(1 − cos ), so we take  () = 162 + 50 cos  − 50 and  0 () = 32 − 50 sin . The formula
for Newton’s method is +1 =  −
162 + 50 cos  − 50
. From the graph
32 − 50 sin 
of  , we can use 1 = 22, giving us 2 ≈ 22662, 3 ≈ 22622 ≈ 4 . So
correct to four decimal places, the angle is 22622 radians ≈ 130◦ .
41. In this case,  = 18,000,  = 375, and  = 5(12) = 60. So the formula  =
18,000 =
375
[1 − (1 + )−60 ] ⇔ 48 = 1 − (1 + )−60


[1 − (1 + )− ] becomes

[multiply each term by (1 + )60 ] ⇔
48(1 + )60 − (1 + )60 + 1 = 0. Let the LHS be called  (), so that
 0 () = 48(60)(1 + )59 + 48(1 + )60 − 60(1 + )59
= 12(1 + )59 [4(60) + 4(1 + ) − 5] = 12(1 + )59 (244 − 1)
+1 =  −
48 (1 +  )60 − (1 +  )60 + 1
. An interest rate of 1% per month seems like a reasonable estimate for
12(1 +  )59 (244 − 1)
 = . So let 1 = 1% = 001, and we get 2 ≈ 00082202, 3 ≈ 00076802, 4 ≈ 00076291, 5 ≈ 00076286 ≈ 6 .
Thus, the dealer is charging a monthly interest rate of 076286% (or 955% per year, compounded monthly).
42. (a) () = 5 − (2 + )4 + (1 + 2)3 − (1 − )2 + 2(1 − ) +  − 1
⇒
0 () = 54 − 4(2 + )3 + 3(1 + 2)2 − 2(1 − ) + 2(1 − ). So we use
+1 =  −
5 − (2 + )4 + (1 + 2)3 − (1 − )2 + 2(1 − ) +  − 1
.
54 − 4(2 + )3 + 3(1 + 2)2 − 2(1 − ) + 2(1 − )
We substitute in the value  ≈ 304042 × 10−6 in order to evaluate the approximations numerically. The libration point
1 is slightly less than 1 AU from the sun, so we take 1 = 095 as our first approximation, and get 2 ≈ 096682,
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469
3 ≈ 097770, 4 ≈ 098451, 5 ≈ 098830, 6 ≈ 098976, 7 ≈ 098998, 8 ≈ 098999 ≈ 9 . So, to five decimal
places, 1 is located 098999 AU from the sun (or 001001 AU from the earth).
(b) In this case we use Newton’s method with the function
() − 22 = 5 − (2 + )4 + (1 + 2)3 − (1 + )2 + 2(1 − ) +  − 1 ⇒

0
() − 22 = 54 − 4(2 + )3 + 3(1 + 2)2 − 2(1 + ) + 2(1 − ). So
+1 =  −
5 − (2 + )4 + (1 + 2)3 − (1 + )2 + 2(1 − ) +  − 1
. Again, we substitute
54 − 4(2 + )3 + 3(1 + 2)2 − 2(1 + ) + 2(1 − )
 ≈ 304042 × 10−6 . 2 is slightly more than 1 AU from the sun and, judging from the result of part (a), probably less
than 002 AU from earth. So we take 1 = 102 and get 2 ≈ 101422, 3 ≈ 101118, 4 ≈ 101018,
5 ≈ 101008 ≈ 6 . So, to five decimal places, 2 is located 101008 AU from the sun (or 001008 AU from the earth).
4.9 Antiderivatives
1. (a)  () = 6
⇒  () = 6 is an antiderivative.
(b) () = 32
⇒ () = 3
2. (a)  () = 2 = 21
⇒  () = 2
(b) () = −12 = −−2
3. (a) () = cos 
(b)  () = 
2+1
= 3 is an antiderivative.
2+1
1+1
= 2 is an antiderivative.
1+1
⇒ () = −
−2+1
= −1 = 1 is an antiderivative.
−2 + 1
⇒ () = sin  is an antiderivative.
⇒  () =  is an antiderivative.
4. (a) () = 1
(b) () = sec2 
⇒ () = ln |  | is an antiderivative.
⇒ () = tan  is an antiderivative.
5.  () = 4 + 7 = 41 + 7
⇒  () = 4
1+1
+ 7 +  = 22 + 7 + 
1+1
Check:  0 () = 2(2) + 7 + 0 = 4 + 7 =  ()
6.  () = 2 − 3 + 2
⇒  () =
2
3
−3
+ 2 +  = 13 3 − 32 2 + 2 + 
3
2
Check:  0 () = 13 (32 ) − 32 (2) + 2 + 0 = 2 − 3 + 2 =  ()
7.  () = 23 − 23 2 + 5
⇒  () = 2
2 2+1
1+1
3+1
−
+5
= 12 4 − 29 3 + 52 2 + 
3+1
32+1
1+1
Check:  0 () = 12 (43 ) − 29 (32 ) + 52 (2) + 0 = 23 − 23 2 + 5 =  ()
8.  () = 65 − 84 − 92
⇒  () = 6
5
3
6
−8
−9
+  = 6 − 85 5 − 33 + 
6
5
3
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APPLICATIONS OF DIFFERENTIATION
9.  () = (12 + 8) = 122 + 8
12. () = 3 08 +  −25
√
⇒  () =
⇒ () = 3
√
13.  () = 3  − 2 3  = 312 − 213
14. () =
2
3
+8
+  = 43 + 42 + 
3
2
2
3
− 10
+ 25 +  = 13 3 − 52 + 25 + 
3
2


⇒ () = 4(313 ) − 2 38 83 +  = 1213 − 34 83 + 
10.  () = ( − 5)2 = 2 − 10 + 25
11. () = 4−23 − 253
⇒  () = 12
 −15
5
 18
2
+
=  18 −  −15 + 
18
−15
3
3




⇒  () = 3 23 32 − 2 34 43 +  = 232 − 32 43 + 
√
 (2 −  + 62 ) = 212 − 32 + 652
() = 2
⇒
52
72
4
32
2
12 72
−
+6
+  = 32 − 52 +

+
32
52
72
3
5
7
15.  () =
√
12
4
2 − 4 + 3 
32
√
= 212 − 4−12 + 3 ⇒  () = 2
−4
+ 3 +  = 32 − 812 + 3 + 
32
12
3

16.  () =
√
√
√
4
4
5 +  = 4 5 + 14
3
2
2
− 2 =
17.  () =
5

5
⇒  () =
√
√
54
4
4
+  = 4 5  + 54 + 
5+
54
5
2
 ln (−) + 3 + 2
 

1
5

−2
− 3 has domain (−∞ 0) ∪ (0 ∞), so  () =


 2 ln  + 3 + 1
5

if   0
if   0
See Example 1(b) for a similar problem.
18.  () =
52 − 6 + 4
,   0 ⇒  () = 5 − 6−1 + 4−2 ,   0 ⇒
2
 () = 5 − 6 ln  + 4(−−1 ) +  = 5 − 6 ln  −
19. () = 7 − 3
4
+ ,   0

⇒ () = 7 − 3  + 
 2

 − 5 − 2 + 3 + 1 if   0
10

20.  () = 6 − 2 + 3 has domain (−∞ 0) ∪ (0 ∞), so  () =


 − 2 − 2 + 3 + 2 if   0
5



.
21.  () = 2 sin  − 3 sec  tan  ⇒  () = −2 cos  − 3 sec  +  on the interval  −   +
2
2



.
22. () = sec2  +  cos  ⇒ () = tan  +  sin  +  on the interval  −   +
2
2


√
4
1
5
5 4
− 45 ⇒  () = 4 arctan  − 95 + 
23.  () =
−

=
4
1 + 2
1 + 2
9
3
1 − 2
24. () = 2 cos  − √
⇒ () = 2 sin  − 3 sin−1  + 
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471

25.  () = 2 + 4 sinh 
26.  () =
⇒  () =
2
+ 4 cosh  + 
ln 2
2(2 + 1) + 3
3
22 + 5
=
= 2+ 2
2
 +1
2 + 1
 +1
27.  () = 2 − 6
⇒  () = 2 − 6 ·
⇒  () = 2 + 3 tan−1  + 
2
+  = 2 − 32 + .
2
 (0) = 1 ⇒ 20 − 3(0)2 +  = 1 ⇒  = −1, so  () = 2 − 32 − 1.
The graph confirms our answer since  () = 0 when  has a local maximum and
when  has a local minimum,  is positive when  is increasing, and  is negative
when  is decreasing.

28.  () = 4 − 3 1 + 2
−1
=4−
3
1 + 2
⇒  () = 4 − 3 tan−1  + .
 
 (1) = 0 ⇒ 4 − 3 4 +  = 0 ⇒  =
 () = 4 − 3 tan−1  +
3
4
− 4, so
3
4
− 4. Note that  is positive and  is increasing on .
Also,  has smaller values where the slopes of the tangent lines of  are smaller.
 2

+  = 122 + 
29.  () = 24 ⇒  () = 24
2
00
0
3
− 4 + 
30.  () =  − 4 ⇒  () =
3
00
0
2
 3

+  +  = 43 +  + 
⇒  () = 12
3
1
⇒ () =
3

4
4

 2

1 4
 − 22 +  + 
−4
+  +  =
2
12
 4
 2


31.  () = 4 + 24 − 1 ⇒  () = 4
+ 24
−  +  = 4 + 122 −  + 
4
2
 3
2
1
1
5

+ 12
−
+  +  = 5 + 43 − 2 +  + 
 () =
5
3
2
5
2
00
0
3
⇒
 6
 2
5


1
1
−
+3
+  = 32 − 5 + 6 + 
⇒  0 () = 6
2
5
6
5
2
 3
 6
 7

1 6
1 7
1 
1 
 +
 +  + 
 () = 3
−
+
+  +  = 3 −
3
5 6
2 7
30
14
32.  00 () = 6 − 4 + 35
33.  00 () = 2 + 3
00
2
⇒  0 () = 2 + 3 + 
−2
34.  () = 1 = 
35.  000 () = 12 + sin 
0
⇒  () =

⇒
⇒  () = 13 3 + 3 +  + 
−1 + 1
−1 + 2
⇒  00 () = 12 − cos  + 1
if   0
if   0
⇒  () =

− ln(−) + 1  + 1
− ln  + 2  + 2
⇒  0 () = 62 − sin  + 1  + 
if   0
if   0
⇒
 () = 23 + cos  + 2 +  + , where  = 12 1 .
36.  000 () =
 () =
√
 − 2 cos  = 12 − 2 cos  ⇒  00 () = 23 32 − 2 sin  + 1
8 72
105 
⇒  0 () =
4 52

15
+ 2 cos  + 1  + 
+ 2 sin  + 2 +  + , where  = 12 1 .
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CHAPTER 4
37.  0 () = 83 +
APPLICATIONS OF DIFFERENTIATION
1
,   0 ⇒  () = 24 + ln  + .  (1) = 2(1)4 + ln 1 +  = 2 +  and  (1) = −3 ⇒

 = −5, so  () = 24 + ln  − 5.
38.  0 () =
√
 − 2 ⇒  () = 23 32 − 2 + .
 (9) = 23 (9)32 − 2(9) +  = 18 − 18 +  =  and (9) = 4 ⇒  = 4, so  () = 23 32 − 2 + 4.
39.  0 () =
 
+  and  (1) = 0 ⇒  +  = 0
⇒ () = 4 arctan  + .  (1) = 4
4
4
1 + 2
⇒
 = −,
so  () = 4 arctan  − .
40.  0 () =  +
 () =
1
1
1
1
1
,   0 ⇒  () = 2 − 2 + .  (1) = − +  and  (1) = 6 ⇒  = 6, so
3
2
2
2
2
1 2
1
 − 2 + 6.
2
2
41.  0 () = 523


⇒  () = 5 35 53 +  = 353 + .
 (8) = 3 · 32 +  and  (8) = 21 ⇒ 96 +  = 21 ⇒  = −75, so  () = 353 − 75.
+1
= 12 + −12

42.  0 () = √
 (1) =
2
3
+2+ =
8
3
⇒  () = 23 32 + 212 + .
+  and  (1) = 5 ⇒  = 5 −
8
3
√
= 73  so  () = 23 32 + 2  + 73 .
√
 
⇒  () = tan  + sec  + .  4 = 1 + 2 + 
√
√
√
 
and  4 = −1 ⇒ 1 + 2 +  = −1 ⇒  = −2 − 2, so () = tan  + sec  − 2 − 2.


Note: The fact that  is defined and continuous on − 2  2 means that we have only one constant of integration.
43.  0 () = sec  (sec  + tan ) = sec2  + sec  tan , − 2   
44.  0 () = 3 −
 (−1) =
3

⇒  () =

3  ln 3 − 3 ln(−) + 
3  ln 3 − 3 ln  + 

2
if   0
if   0
1
1
− 3 ln 1 +  and  (−1) = 1 ⇒  = 1 −
.
3 ln 3
3 ln 3
3
3
− 3 ln 1 +  and  (1) = 2 ⇒  = 2 −
.
ln 3
ln 3
 
3  ln 3 − 3 ln(−) + 1 − 1(3 ln 3) if   0
Thus, () =
if   0
3  ln 3 − 3 ln  + 2 − 3 ln 3
 (1) =
45.  00 () = −2 + 12 − 122
⇒  0 () = −2 + 62 − 43 + .  0 (0) =  and  0 (0) = 12 ⇒  = 12, so
 0 () = −2 + 62 − 43 + 12 and hence,  () = −2 + 23 − 4 + 12 + .  (0) =  and (0) = 4 ⇒  = 4,
so  () = −2 + 23 − 4 + 12 + 4.
46.  00 () = 83 + 5
⇒  0 () = 24 + 5 + .  0 (1) = 2 + 5 +  and  0 (1) = 8 ⇒  = 1, so
 0 () = 24 + 5 + 1. () = 25 5 + 52 2 +  + . (1) =
so  () = 25 5 + 52 2 +  −
2
5
+
5
2
+1+ =+
39
10
and (1) = 0 ⇒  = − 39
,
10
39
10 .
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°
SECTION 4.9
47.  00 () = sin  + cos 
¤
ANTIDERIVATIVES
473
⇒  0 () = − cos  + sin  + .  0 (0) = −1 +  and  0 (0) = 4 ⇒  = 5, so
 0 () = − cos  + sin  + 5 and hence, () = − sin  − cos  + 5 + .  (0) = −1 +  and  (0) = 3 ⇒  = 4,
so  () = − sin  − cos  + 5 + 4.
48.  00 () = 2 +
−
2
3
1
1
= 2 + −2 ,   0 ⇒  0 () = 13 3 − + .  0 (1) =
2

= 2 ⇒  = 83 , so  0 () = 13 3 −
and (2) = 3 ⇒
20
3
1
+

8
3
and hence,  () =
− ln 2 +  = 3 ⇒  = ln 2 −
49.  00 () = 4 + 6 + 242
11
3 ,
⇒  0 () = 4 + 32 + 83 + 
1 4

12
so  () =
1
3
− 1 +  and  0 (1) = 2 ⇒
− ln  + 83  + .  (2) =
1 4
12 
− ln  + 83  + ln 2 −
4
3
− ln 2 +
16
3
+
11
3 .
⇒  () = 22 + 3 + 24 +  + .  (0) =  and
 (0) = 3 ⇒  = 3, so  () = 22 + 3 + 24 +  + 3. (1) = 8 +  and  (1) = 10 ⇒  = 2,
so  () = 22 + 3 + 24 + 2 + 3.
50.  00 () = 3 + sinh 
⇒  0 () = 14 4 + cosh  + 
 (0) = 1 ⇒  = 1, so () =
1 5

20
+ sinh  +  + 1.  (2) =
sinh 2 + 2 = 0 ⇒  = − 12 sinh 2, so  () =
51.  00 () =  − 2 sin 
⇒  () =
1 5
20 
1 5

20
32
20
+ sinh  +  + . (0) =  and
+ sinh 2 + 2 + 1 and  (2) = 26 ⇒
+ sinh  − 12 (sinh 2) + 1.
⇒  0 () =  + 2 cos  + 
⇒  () =  + 2 sin  +  + .
 
 (0) = 1 + 0 +  and (0) = 3 ⇒  = 2, so  () =  + 2 sin  +  + 2  2 = 2 + 2 + 2  + 2 and


2
= 0 ⇒ 2 + 4 +


2
=0 ⇒


2
= −2 − 4 ⇒  = − 2 (2 + 4), so
 () =  + 2 sin  − 2 (2 + 4) + 2.
52.  00 () =
√
3
 − cos  = 13 − cos  ⇒  0 () = 34 43 − sin  + 
 (0) = 0 + 1 + 0 +  and (0) = 2 ⇒  = 1, so  () =
 (1) = 2 ⇒  = 2 −
53.  00 () = −2 ,   0
9
28
− cos 1 − 1 =
19
28
⇒  () =
9 73

28
+ cos  +  + .
9
+ cos  +  + 1.  (1) = 28
+ cos 1 +  + 1 and


9 73
− cos 1, so  () = 28

+ cos  + 19
28 − cos 1  + 1.
⇒  0 () = −1 + 
9 73

28
⇒  () = − ln || +  +  = − ln  +  +  [since   0].
 (1) = 0 ⇒  +  = 0 and (2) = 0 ⇒ − ln 2 + 2 +  = 0 ⇒ − ln 2 + 2 −  = 0 [since  = −] ⇒
− ln 2 +  = 0 ⇒  = ln 2 and  = − ln 2. So  () = − ln  + (ln 2) − ln 2.
54.  000 () = cos 
⇒  00 () = sin  + .  00 (0) =  and  00 (0) = 3 ⇒  = 3.  00 () = sin  + 3 ⇒
 0 () = − cos  + 3 + .  0 (0) = −1 +  and  0 (0) = 2 ⇒  = 3.  0 () = − cos  + 3 + 3 ⇒
 () = − sin  + 32 2 + 3 + .  (0) =  and  (0) = 1 ⇒  = 1. Thus,  () = − sin  + 32 2 + 3 + 1.
55. “The slope of its tangent line at ( ()) is 3 − 4” means that  0 () = 3 − 4, so  () = 3 − 22 + .
“The graph of  passes through the point (2 5)” means that  (2) = 5, but (2) = 3(2) − 2(2)2 + , so 5 = 6 − 8 + 
 = 7. Thus,  () = 3 − 22 + 7 and (1) = 3 − 2 + 7 = 8.
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°
⇒
474
¤
CHAPTER 4
56.  0 () = 3
APPLICATIONS OF DIFFERENTIATION
⇒  () = 14 4 + .  +  = 0 ⇒  = − ⇒  = −1. Now  =  0 () ⇒ −1 = 3
⇒
 = −1 ⇒  = 1 (from the equation of the tangent line), so (−1 1) is a point on the graph of . From  ,
1 = 14 (−1)4 + 
⇒  = 34 . Therefore, the function is  () = 14 4 + 34 .
57.  is the antiderivative of  . For small ,  is negative, so the graph of its antiderivative must be decreasing. But both  and 
are increasing for small , so only  can be  ’s antiderivative. Also,  is positive where  is increasing, which supports our
conclusion.
58. We know right away that  cannot be  ’s antiderivative, since the slope of  is not zero at the ­value where  = 0. Now  is
positive when  is increasing and negative when  is decreasing, so  is the antiderivative of  .
59.
The graph of  must start at (0 1). Where the given graph,  =  (), has a
local minimum or maximum, the graph of  will have an inflection point.
Where  is negative (positive),  is decreasing (increasing).
Where  changes from negative to positive,  will have a minimum.
Where  changes from positive to negative,  will have a maximum.
Where  is decreasing (increasing),  is concave downward (upward).
60.
Where  is positive (negative),  is increasing (decreasing).
Where  is increasing (decreasing),  is concave upward (downward).
Where  is horizontal (a steady velocity),  is linear.
61.

2


0
 () = 1


−1
if 0 ≤   1
if 1    2
if 2    3

2 + 


⇒  () =  + 


− + 
if 0 ≤   1
if 1    2
if 2    3
 (0) = −1 ⇒ 2(0) +  = −1 ⇒  = −1. Starting at the point
(0 −1) and moving to the right on a line with slope 2 gets us to the point (1 1).
The slope for 1    2 is 1, so we get to the point (2 2). Here we have used the fact that  is continuous. We can include the
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°
SECTION 4.9
ANTIDERIVATIVES
¤
475
point  = 1 on either the first or the second part of  . The line connecting (1 1) to (2 2) is  = , so  = 0. The slope for
2    3 is −1, so we get to (3 1).
 (2) = 2 ⇒ −2 +  = 2 ⇒  = 4. Thus,

2 − 1 if 0 ≤  ≤ 1


if 1    2
 () = 


− + 4 if 2 ≤   3
Note that  0 () does not exist at  = 1, 2, or 3.
62. (a)
(b) Since  (0) = 1, we can start our graph at (0 1).  has a minimum at about
 = 05, so its derivative is zero there.  is decreasing on (0 05), so its
derivative is negative and hence,  is CD on (0 05) and has an IP at
 ≈ 05. On (05 22),  is negative and increasing ( 0 is positive), so  is
decreasing and CU. On (22 ∞),  is positive and increasing, so  is
increasing and CU.
√
(c)  () = 2 − 3  ⇒  () = 2 − 3 · 23 32 + .
(d)
 (0) =  and  (0) = 1 ⇒  = 1, so  () = 2 − 232 + 1.
63.  () =
sin 
, −2 ≤  ≤ 2
1 + 2
Note that the graph of  is one of an odd function, so the graph of  will
be one of an even function.
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°
476
¤
CHAPTER 4
64.  () =
APPLICATIONS OF DIFFERENTIATION
√
4 − 22 + 2 − 2, −3 ≤  ≤ 3
Note that the graph of  is one of an even
function, so the graph of  will be one of an
odd function.
65. () = 0 () = 2 cos  + 4 sin 
⇒ () = 2 sin  − 4 cos  + . (0) = −4 +  and (0) = 3 ⇒  = 7, so
() = 2 sin  − 4 cos  + 7.
√
66. () = 0 () = 2 − 3  = 2 − 312
 =8−
64
3
⇒ () = 13 3 − 232 + . (4) =
64
3
− 16 +  and (4) = 8 ⇒
+ 16 = 83 , so () = 13 3 − 232 + 83 .
67. () =  0 () = 2 + 1
⇒ () = 2 +  + . (0) =  and (0) = −2 ⇒  = −2, so () = 2 +  − 2 and
() = 13 3 + 12 2 − 2 + . (0) =  and (0) = 3 ⇒  = 3, so () = 13 3 + 12 2 − 2 + 3.
68. () =  0 () = 3 cos  − 2 sin 
⇒ () = 3 sin  + 2 cos  + . (0) = 2 +  and (0) = 4 ⇒  = 2, so
() = 3 sin  + 2 cos  + 2 and () = −3 cos  + 2 sin  + 2 + . (0) = −3 +  and (0) = 0 ⇒  = 3,
so () = −3 cos  + 2 sin  + 2 + 3.
69. () =  0 () = sin  − cos 
⇒ () = 0 () = − cos  − sin  + 
⇒ () = − sin  + cos  +  + .
(0) = 1 +  = 0 and () = −1 +  +  = 6 ⇒  = −1 and  =
70. () = 2 − 4 + 6
⇒ () = 13 3 − 22 + 6 + 
(0) = 0 ⇒  = 0. (1) =
29
12
⇒ () =
+  and (1) = 20 ⇒  =
1 4

12
211
12 .
8
8
. Thus, () = − sin  + cos  +  − 1.


− 23 3 + 32 +  + . (0) =  and
Thus, () =
1 4
12 
− 23 3 + 32 +
211
12 .
71. (a) We first observe that since the stone is dropped 450 m above the ground, (0) = 0 and (0) = 450.
 0 () = () = −98 ⇒ () = −98 + . Now (0) = 0 ⇒  = 0, so () = −98 ⇒
() = −492 + . Last, (0) = 450 ⇒  = 450 ⇒ () = 450 − 492 .
(b) The stone reaches the ground when () = 0. 450 − 492 = 0 ⇒ 2 = 45049 ⇒ 1 =

(c) The velocity with which the stone strikes the ground is (1 ) = −98 45049 ≈ −939 ms.

45049 ≈ 958 s.
(d) This is just reworking parts (a) and (b) with (0) = −5. Using () = −98 + , (0) = −5 ⇒ 0 +  = −5 ⇒
() = −98 − 5. So () = −492 − 5 +  and (0) = 450 ⇒  = 450 ⇒ () = −492 − 5 + 450.
√


Solving () = 0 by using the quadratic formula gives us  = 5 ± 8845 (−98) ⇒ 1 ≈ 909 s.
72.  0 () = () = 
⇒ () =  +  and 0 = (0) = 
() = 12 2 + 0  + 
⇒ 0 = (0) = 
⇒ () =  + 0
⇒
⇒ () = 12 2 + 0  + 0
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°
SECTION 4.9
ANTIDERIVATIVES
¤
477
73. By Exercise 72 with  = −98, () = −492 + 0  + 0 and () = 0 () = −98 + 0 . So


[()]2 = (−98 + 0 )2 = (98)2 2 − 1960  + 02 = 02 + 96042 − 1960  = 02 − 196 −492 + 0  .
But −492 + 0  is just () without the 0 term; that is, () − 0 . Thus, [()]2 = 02 − 196 [() − 0 ].
74. For the first ball, 1 () = −162 + 48 + 432 from Example 7. For the second ball, () = −32
⇒ () = −32 + , but
(1) = −32(1) +  = 24 ⇒  = 56, so () = −32 + 56 ⇒ () = −162 + 56 + , but
(1) = −16(1)2 + 56(1) +  = 432 ⇒  = 392, and 2 () = −162 + 56 + 392. The balls pass each other
when 1 () = 2 () ⇒ −162 + 48 + 432 = −162 + 56 + 392 ⇔ 8 = 40 ⇔  = 5 s.
Another solution: From Exercise 72, we have 1 () = −162 + 48 + 432 and 2 () = −162 + 24 + 432.
We now want to solve 1 () = 2 ( − 1) ⇒ −162 + 48 + 432 = −16( − 1)2 + 24( − 1) + 432 ⇒
48 = 32 − 16 + 24 − 24 ⇒ 40 = 8 ⇒  = 5 s.
75. Using Exercise 72 with  = −32, 0 = 0, and 0 =  (the height of the cliff ), we know that the height at time  is
() = −162 + . () = 0 () = −32 and () = −120 ⇒ −32 = −120 ⇒  = 375, so
0 = (375) = −16(375)2 +  ⇒  = 16(375)2 = 225 ft.
76. (a)  00 = ( − ) + 12 ( − )2
 = 16 ( − )3 +
1
(
24
⇒  0 = − 12 ( − )2 − 16 ( − )3 + 
⇒
− )4 +  + . Since the left end of the board is fixed, we must have  =  0 = 0
1
when  = 0. Thus, 0 = − 12 2 − 16 3 +  and 0 = 16 3 + 24
4 + . It follows that




1
1
( − )4 + 12 2 + 16 3  − 16 3 + 24
4 and
 = 16 ( − )3 + 24
 () =  =
1 1
( − )3 +
 6
1
24 (
− )4 +
1
2
2 


+ 16 3  − 16 3 +
4
1
24 

(b)  ()  0, so the end of the board is a distance approximately − () below the horizontal. From our result in (a), we
calculate
− () =
−1  1
3 + 16 4 − 16 3 −
 2
Note: This is positive because  is negative.
77. Marginal cost = 192 − 0002 =  0 ()
1
4
24

=

−1  1
3
3 + 18 4 = −
3



 
+
3
8

⇒ () = 192 − 00012 + . But (1) = 192 − 0001 +  = 562 ⇒
 = 560081. Therefore, () = 192 − 00012 + 560081 ⇒ (100) = 742081, so the cost of producing
100 items is $74208.
78. Let the mass, measured from one end, be (). Then (0) = 0 and  =
(0) =  = 0, so () = 2

= −12

⇒ () = 212 +  and
√
√
. Thus, the mass of the 100­centimeter rod is (100) = 2 100 = 20 g.
79. Taking the upward direction to be positive we have that for 0 ≤  ≤ 10 (using the subscript 1 to refer to 0 ≤  ≤ 10),
1 () = − (9 − 09) = 10 () ⇒ 1 () = −9 + 0452 + 0 , but 1 (0) = 0 = −10 ⇒
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°
478
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CHAPTER 4
APPLICATIONS OF DIFFERENTIATION
1 () = −9 + 0452 − 10 = 01 () ⇒ 1 () = − 92 2 + 0153 − 10 + 0 . But 1 (0) = 500 = 0
⇒
1 () = − 92 2 + 0153 − 10 + 500. 1 (10) = −450 + 150 − 100 + 500 = 100, so it takes
more than 10 seconds for the raindrop to fall. Now for   10, () = 0 =  0 () ⇒
() = constant = 1 (10) = −9(10) + 045(10)2 − 10 = −55 ⇒ () = −55.
At 55 ms, it will take 10055 ≈ 18 s to fall the last 100 m. Hence, the total time is 10 +
80.  0 () = () = −22. The initial velocity is 50 mih =
The car stops when () = 0 ⇔  =
 2
 
= −11 10
+
 10
3
3
220
3
10
3
·
=
1100
9
220
3 · 22
=
5280
3600
=
220
3
fts, so () = −22 +
Since () = −112 +
220
,
3
130
11
≈ 118 s.
220
3 .
the distance covered is
5280
3600
= 44 fts, and the final velocity (after 5 seconds) is
fts. So () =  +  and (0) = 44 ⇒  = 44. Thus, () =  + 44 ⇒
220
3
(5) = 5 + 44. But (5) =
82. () = −16
=
=
= 1222 ft.
81. () = , the initial velocity is 30 mih = 30 ·
50 mih = 50 ·
10
.
3
50 · 5280
3600
100
55
220
,
3
so 5 + 44 =
220
3
⇒
5 =
88
3
⇒
=
88
15
≈ 587 fts2 .
⇒ () = −16 + 0 where 0 is the car’s speed (in fts) when the brakes were applied. The car stops when
−16 + 0 = 0 ⇔  =
1
 .
16 0
Now () = 12 (−16)2 + 0  = −82 + 0 . The car travels 200 ft in the time that it takes
 1 2
1 
1 
0 = 200 ⇒ 200 = −8 16
0 + 0 16
0 =
to stop, so  16
1 2

32 0
⇒ 02 = 32 · 200 = 6400 ⇒
0 = 80 fts [5454 mih].
83. Let the acceleration be () =  kmh2 . We have (0) = 100 kmh and we can take the initial position (0) to be 0.
We want the time  for which () = 0 to satisfy ()  008 km. In general,  0 () = () = , so () =  + ,
where  = (0) = 100. Now 0 () = () =  + 100, so () = 12 2 + 100 + , where  = (0) = 0.
Thus, () = 12 2 + 100. Since ( ) = 0, we have  + 100 = 0 or  = −100, so
( ) =
−

2




100
1
5,000
1
100
1
 −
= 10,000
−
=−
. The condition ( ) must satisfy is
+ 100 −
2


2


5,000
5,000
 008 ⇒ −


008
[ is negative] ⇒   −62,500 kmh2 , or equivalently,
≈ −482 ms2 .
  − 3125
648
84. (a) For 0 ≤  ≤ 3 we have () = 60
() = 103 + 
⇒ () = 302 + 
⇒ (0) = 0 = 
⇒ (0) = 0 = 
⇒ () = 302 , so
⇒ () = 103 . Note that (3) = 270 and (3) = 270.
For 3   ≤ 17: () = − = −32 fts ⇒ () = −32( − 3) + 
() = −32( − 3) + 270 ⇒ () = −16( − 3)2 + 270( − 3) + 
⇒ (3) = 270 = 
⇒ (3) = 270 = 
⇒
⇒
() = −16( − 3)2 + 270( − 3) + 270. Note that (17) = −178 and (17) = 914.
For 17   ≤ 22: The velocity increases linearly from −178 fts to −18 fts during this period, so
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°
SECTION 4.9
ANTIDERIVATIVES
¤
479
−18 − (−178)
160
∆
=
=
= 32. Thus, () = 32( − 17) − 178 ⇒
∆
22 − 17
5
() = 16( − 17)2 − 178( − 17) + 914 and (22) = 424 ft.
For   22: () = −18 ⇒ () = −18( − 22) + . But (22) = 424 = 
⇒ () = −18( − 22) + 424.
Therefore, until the rocket lands, we have
 2
30




−32 ( − 3) + 270
() =
32( − 17) − 178




−18
and
if 0 ≤  ≤ 3
if 3   ≤ 17
if 17   ≤ 22
if   22
 3
10




−16( − 3)2 + 270( − 3) + 270
() =

16( − 17)2 − 178 ( − 17) + 914




−18( − 22) + 424
if 0 ≤  ≤ 3
if 3   ≤ 17
if 17   ≤ 22
if   22
(b) To find the maximum height, set () on 3   ≤ 17 equal to 0. −32( − 3) + 270 = 0 ⇒ 1 = 114375 s and the
maximum height is (1 ) = −16(1 − 3)2 + 270(1 − 3) + 270 = 14090625 ft.
(c) To find the time to land, set () = −18( − 22) + 424 = 0. Then  − 22 =
85. (a) First note that 180 mih = 180 ×
424
18
5280
fts = 264 fts. Then () = 24 fts2
3600
(0) = 0 ⇒  = 0. Now 24 = 264 when  =
= 235, so  ≈ 456 s.
⇒ () = 24 + , but
264
= 110 s, so it takes 110 s to reach 264 fts. Therefore, taking
24
(0) = 0, we have () = 122 , 0 ≤  ≤ 110. So (110) = 14,520 ft. 20 minutes = 20(60) = 1200 s, so for
110 ≤  ≤ 1310 we have () = 264 fts ⇒ (1310) = 264(1200) + 14,520 = 331,320 ft = 62.75 mi.
(b) As in part (a), the train accelerates for 110 s and travels 14,520 ft while doing so. Similarly, it decelerates for 110 s and
travels 14,520 ft at the end of its trip. During the remaining 1200 − 2(110) = 980 s it travels at 264 fts, so the distance
traveled is 264 · 980 = 258,720 ft. Thus, the total distance is 14,520 + 258,720 + 14,520 = 287,760 ft = 54.5 mi.
(c) 60 mi = 60(5280) = 316,800 ft. Subtract 2(14,520) to take care of the speeding up and slowing down, and we have
287,760 ft at 264 fts for a trip of 287,760264 = 1090 s at 180 mih. The total time is
1090 + 2(110) = 1310 s = 21 min 50 s = 21.83 min.
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°
480
¤
CHAPTER 4 APPLICATIONS OF DIFFERENTIATION
(d) 375(60) = 2250 s. Then 2250 − 2(110) = 2030 s at maximum speed. 2030(264) + 2(14,520) = 564,960 total feet or
564,9605280 = 107 mi.
4 Review
1. False.
For example, take  () = 3 , then  0 () = 32 and  0 (0) = 0, but  (0) = 0 is not a maximum or minimum;
(0 0) is an inflection point.
2. False.
For example, () = || has an absolute minimum at 0, but  0 (0) does not exist.
3. False.
For example, () =  is continuous on (0 1) but attains neither a maximum nor a minimum value on (0 1).
Don’t confuse this with  being continuous on the closed interval [ ], which would make the statement true.
0
(1) −  (−1)
= = 0. Note that ||  1 ⇔  ∈ (−1 1).
1 − (−1)
2
4. True.
By the Mean Value Theorem,  0 () =
5. True.
This is an example of part (b) of the Increasing/Decreasing Test.
6. False.
For example, the curve  =  () = 1 has no inflection points but  00 () = 0 for all .
7. False.
 0 () =  0 () ⇒  () = () + . For example, if () =  + 2 and () =  + 1, then  0 () =  0 () = 1,
but () 6= ().
8. False.
Assume there is a function  such that  (1) = −2 and  (3) = 0. Then by the Mean Value Theorem there exists a
number  ∈ (1 3) such that  0 () =
9. True.
10. False.
0 − (−2)
 (3) −  (1)
=
= 1. But  0 ()  1 for all , a contradiction.
3−1
2
The graph of one such function is sketched.
At any point (  ()), we know that  0 ()  0. So since the tangent line at (  ()) is not horizontal, it must cross
the ­axis—at  = , say. But since  00 ()  0 for all , the graph of  must lie above all of its tangents;
in particular,  ()  0. But this is a contradiction, since we are given that  ()  0 for all .
11. True.
Let 1  2 where 1  2 ∈ . Then  (1 )  (2 ) and (1 )  (2 ) [since  and  are increasing on  ],
so ( + )(1 ) =  (1 ) + (1 )   (2 ) + (2 ) = ( + )(2 ).
12. False.
 () =  and () = 2 are both increasing on (0 1), but () − () = − is not increasing on (0 1).
13. False.
Take  () =  and () =  − 1. Then both  and  are increasing on (0 1). But () () = ( − 1) is not
increasing on (0 1).
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°
CHAPTER 4 REVIEW
14. True.
¤
481
Let 1  2 where 1  2 ∈ . Then 0   (1 )   (2 ) and 0  (1 )  (2 ) [since  and  are both positive
and increasing]. Hence,  (1 ) (1 )  (2 ) (1 )   (2 ) (2 ). So   is increasing on .
15. True.
Let 1  2 ∈  and 1  2 . Then  (1 )   (2 ) [ is increasing] ⇒
1
1

[ is positive] ⇒
 (1 )
 (2 )
(1 )  (2 ) ⇒ () = 1() is decreasing on .
16. False.
If  is even, then  () =  (−). Using the Chain Rule to differentiate this equation, we get
 0 () =  0 (−)
17. True.

(−) = − 0 (−). Thus,  0 (−) = − 0 (), so  0 is odd.

If  is periodic, then there is a number  such that  ( + ) =  () for all . Differentiating gives
 0 () =  0 ( + ) · ( + )0 =  0 ( + ) · 1 =  0 ( + ), so  0 is periodic.
18. False.
The most general antiderivative of () = −2 is  () = −1 + 1 for   0 and  () = −1 + 2
for   0 [see Example 4.9.1(b)].
By the Mean Value Theorem, there exists a number  in (0 1) such that  (1) −  (0) =  0 ()(1 − 0) =  0 ().
19. True.
Since  0 () is nonzero, (1) −  (0) 6= 0, so  (1) 6=  (0).
20. False.
Let  () = 1 +
lim [ ()]()
→∞
21. False.
lim
→0
1
and () = . Then lim () = 1 and lim () = ∞, but
→∞
→∞



1
= lim 1 +
= , not 1.
→∞

lim 
0

→0
=
= = 0, not 1.


lim 
1
→0
1.  () = 3 − 92 + 24 − 2, [0 5].
 0 () = 32 − 18 + 24 = 3(2 − 6 + 8) = 3( − 2)( − 4).  0 () = 0 ⇔
 = 2 or  = 4.  0 ()  0 for 0    2,  0 ()  0 for 2    4, and  0 ()  0 for 4    5, so (2) = 18 is a local
maximum value and  (4) = 14 is a local minimum value. Checking the endpoints, we find (0) = −2 and (5) = 18. Thus,
 (0) = −2 is the absolute minimum value and  (2) =  (5) = 18 is the absolute maximum value.
2.  () = 


√
1 − 3
1 − , [−1 1].  0 () =  · 12 (1 − )−12 (−1) + (1 − )12 (1) = (1 − )−12 − 12  + (1 − ) = √ 2 .
1−
 0 () = 0 ⇒  = 23 .  0 () does not exist ⇔  = 1.  0 ()  0 for −1   

2
3
=
2
3

1
3
=
2
9
2
3
and  0 ()  0 for
2
3
   1, so
√
√
3 [≈ 038] is a local maximum value. Checking the endpoints, we find (−1) = − 2 and  (1) = 0.
√
 
Thus, (−1) = − 2 is the absolute minimum value and  23 =
2
9
√
3 is the absolute maximum value.
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
¤
482
CHAPTER 4 APPLICATIONS OF DIFFERENTIATION
3.  () =
3 − 4
(2 + 1)(3) − (3 − 4)(2)
−(32 − 8 − 3)
−(3 + 1)( − 3)
, [−2 2].  0 () =
=
=
.
2
2
2
 +1
( + 1)
(2 + 1)2
(2 + 1)2
 0 () = 0 ⇒  = − 13 or  = 3, but 3 is not in the interval.  0 ()  0 for − 13    2 and  0 ()  0 for
 
−5
−2    − 13 , so  − 13 = 109
= − 92 is a local minimum value. Checking the endpoints, we find  (−2) = −2 and
 
 (2) = 25 . Thus,  − 13 = − 92 is the absolute minimum value and (2) =
2
5
is the absolute maximum value.
√
2 + 1
1
.  0 () = 0 ⇒  = − .
2 +  + 1, [−2 1].  0 () = 12 (2 +  + 1)−12 (2 + 1) = √
2
2 2 +  + 1
  √
 0 ()  0 for − 12    1 and  0 ()  0 for −2    − 12 , so  − 12 = 32 is a local minimum value. Checking the
4.  () =
endpoints, we find  (−2) =  (1) =
the absolute maximum value.
5.  () =  + 2 cos , [− ].
√
√
  √
3. Thus,  − 12 = 32 is the absolute minimum value and  (−2) = (1) = 3 is
 0 () = 1 − 2 sin .  0 () = 0 ⇒ sin  =




 


− 6 and 5
, so  6 =
  , and  0 ()  0 for 6  5
6
6

 5 
6
=
5
6
−

6
+
1
2
⇒ =
 5
, 6.
6
 0 ()  0 for
√
3 ≈ 226 is a local maximum value and
√
3 ≈ 089 is a local minimum value. Checking the endpoints, we find  (−) = − − 2 ≈ −514 and
 () =  − 2 ≈ 114. Thus,  (−) = − − 2 is the absolute minimum value and 
maximum value.
6.  () = 2 − , [−1 3].

6
=

6
+
√
3 is the absolute
 0 () = 2 (−− ) + − (2) = − (− + 2).  0 () = 0 ⇒  = 0 or  = 2.
 0 ()  0 for 0    2 and  0 ()  0 for −1    0 and 2    3, so (0) = 0 is a local minimum value and
 (2) = 4−2 ≈ 054 is a local maximum value. Checking the endpoints, we find  (−1) =  ≈ 272 and
 (3) = 9−3 ≈ 045. Thus,  (0) = 0 is the absolute minimum value and  (−1) =  is the absolute maximum value.
7. This limit has the form 00 .
lim
→0
1
 − 1 H

= =1
= lim
→0 sec2 
tan 
1
8. This limit has the form 00 .
lim
→0
4(1)
4
tan 4 H
4 sec2 4
=
=
= lim
 + sin 2 →0 1 + 2 cos 2
1 + 2(1)
3
9. This limit has the form 00 .
lim
2+2
2 − −2 H
22 + 2−2
=
=4
= lim
→0
ln( + 1)
1( + 1)
1
10. This limit has the form
∞
∞.
→0
2 − −2 H
22 + 2−2
= lim 2( + 1)(2 + −2 ) = ∞
= lim
→∞ ln( + 1)
→∞
→∞
1( + 1)
lim
since 2( + 1) → ∞ and (2 + −2 ) → ∞ as  → ∞.
11. This limit has the form ∞ · 0.
 H

2 − 3  ∞
2 − 32  ∞
form
=
lim
form
∞
∞
→−∞ −2
→−∞ −2−2
 H
2 − 6  ∞
−6
H
= lim
= lim
=0
∞ form
→−∞ 4−2
→−∞ −8−2
lim (2 − 3 )2 = lim
→−∞
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°
CHAPTER 4 REVIEW
12. This limit has the form 0 · ∞.
lim ( − ) csc  = lim
→ −
13. This limit has the form ∞ − ∞.
lim
→1+

1

−
−1
ln 

= lim
→1+
H
= lim
→1+
14.  = (tan )cos 
lim
→(2)−
so
lim
ln  =
→(2)−

→ −
 ln  −  + 1
( − 1) ln 

483
 H
1
 −  0
1
=
= −1
form = lim
sin  0
−1
→ − cos 
H
= lim
¤
→1+
 · (1) + ln  − 1
ln 
= lim
( − 1) · (1) + ln  →1+ 1 − 1 + ln 
1
1
1
=
=
12 + 1
1+1
2
⇒ ln  = cos  ln tan , so
lim
→(2)−
(tan )cos  =
ln tan  H
(1 tan ) sec2 
sec 
cos 
0
=
lim
=
lim
=
lim
= 2 = 0,
2
2
sec 
sec  tan 
1
→(2)−
→(2)− tan 
→(2)− sin 
lim
→(2)−
ln  = 0 = 1.
15.  (0) = 0,  0 (−2) =  0 (1) =  0 (9) = 0, lim  () = 0, lim () = −∞,
→∞
→6
 0 ()  0 on (−∞ −2), (1 6), and (9 ∞),  0 ()  0 on (−2 1) and (6 9),
 00 ()  0 on (−∞ 0) and (12 ∞),  00 ()  0 on (0 6) and (6 12)
16. For 0    1,  0 () = 2, so  () = 2 + . Since  (0) = 0,
 () = 2 on [0 1]. For 1    3,  0 () = −1, so  () = − + .
1 = (1) = −1 + 
⇒  = 2, so  () = 2 − . For   3,  0 () = 1,
so  () =  + . −1 =  (3) = 3 + 
⇒  = −4, so () =  − 4.
Since  is even, its graph is symmetric about the ­axis.
17.  is odd,  0 ()  0 for 0    2,
 00 ()  0 for 0    3,
 0 ()  0 for   2,
 00 ()  0 for   3,
lim→∞  () = −2
18. (a) Since  0 ()  0 on (1 4) and (4 7),  is increasing on these intervals. Since  0 ()  0 on (0 1) and (7 8),  is
decreasing on these intervals.
(b) Since  0 (7) = 0 and  0 changes from positive to negative there,  changes from increasing to decreasing and has a local
maximum at  = 7. Since  0 () = 0 at  = 1 and  0 changes from negative to positive there,  changes from decreasing
to increasing and has a local minimum at  = 1.
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°
484
¤
CHAPTER 4 APPLICATIONS OF DIFFERENTIATION
(c)
(d)
19.  =  () = 2 − 2 − 3
A.  =  B. ­intercept:  (0) = 2.
H.
The ­intercept (approximately 0770917) can be found using Newton’s
Method. C. No symmetry D. No asymptote
E.  0 () = −2 − 32 = −(32 + 2)  0, so  is decreasing on .
F. No extreme value G.  00 () = −6  0 on (0 ∞) and  00 ()  0 on
(−∞ 0), so  is CD on (0 ∞) and CU on (−∞ 0). There is an IP at (0 2).
20.  =  () = −23 − 32 + 12 + 5
A.  =  B. ­intercept:  (0) = 5; ­intercept:  () = 0 ⇔
  −315, −039, 204 C. No symmetry D. No asymptote
E.  0 () = −62 − 6 + 12 = −6(2 +  − 2) = −6( + 2)( − 1).
H.
 0 ()  0 for −2    1, so  is increasing on (−2 1) and decreasing on
(−∞ −2) and (1 ∞). F. Local minimum value  (−2) = −15, local


maximum value  (1) = 12 G.  00 () = −12 − 6 = −12  + 12 .




 00 ()  0 for   − 12 , so  is CU on −∞ − 12 and CD on − 12  ∞ . There


is an IP at − 12  − 32 .
21.  =  () = 34 − 43 + 2
A.  =  B. ­intercept:  (0) = 2; no ­intercept C. No symmetry D. No asymptote
E.  0 () = 123 − 122 = 122 ( − 1).  0 ()  0 for   1, so  is
H.
0
increasing on (1 ∞) and decreasing on (−∞ 1). F.  () does not change
sign at  = 0, so there is no local extremum there. (1) = 1 is a local minimum
value. G.  00 () = 362 − 24 = 12(3 − 2).  00 ()  0 for 0    23 ,




so  is CD on 0 23 and  is CU on (−∞ 0) and 23  ∞ . There are inflection


.
points at (0 2) and 23  38
27
22.  =  () =

1 − 2
A.  = (−∞ −1) ∪ (−1 1) ∪ (1 ∞) B. ­intercept:  (0) = 0; ­intercept: 0
C.  (−) = − (), so  is odd and the graph is symmetric about the origin. D.
lim
→−1− 1
lim
→1+
lim
→±∞ 1

= 0, so  = 0 is a HA.
− 2



= ∞ and lim
= −∞, so  = −1 is a VA. Similarly, lim
= ∞ and
2
2
− 2
→−1+ 1 − 
→1− 1 − 
(1 − 2 )(1) − (−2)
1 + 2

= −∞, so  = 1 is a VA. E.  0 () =
=
 0 for  6= ±1, so  is
2
2
2
1−
(1 −  )
(1 − 2 )2
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°
CHAPTER 4 REVIEW
¤
increasing on (−∞ −1), (−1 1), and (1 ∞). F. No local extrema
G.  00 () =
=
(1 − 2 )2 (2) − (1 + 2 )2(1 − 2 )(−2)
[(1 − 2 )2 ]2
H.
2(1 − 2 )[(1 − 2 ) + 2(1 + 2 )]
2(3 + 2 )
=
2
4
(1 −  )
(1 − 2 )3
 00 ()  0 for   −1 and 0    1, and  00 ()  0 for −1    0 and
  1, so  is CU on (−∞ −1) and (0 1), and  is CD on (−1 0) and (1 ∞).
(0 0) is an IP.
23.  = () =
D.
lim
→±∞
1
( − 3)2
A.  = { |  6= 0 3} = (−∞ 0) ∪ (0 3) ∪ (3 ∞) B. No intercepts. C. No symmetry.
1
= 0, so  = 0 is a HA.
( − 3)2
so  = 0 and  = 3 are VA. E.  0 () = −
lim
→0+
1
1
1
= ∞, lim
= −∞, lim
= ∞,
2
→3 ( − 3)2
( − 3)2
→0− ( − 3)
( − 3)2 + 2( − 3)
3(1 − )
= 2
2 ( − 3)4
 ( − 3)3
so  is increasing on (1 3) and decreasing on (−∞ 0), (0 1), and (3 ∞).
F. Local minimum value (1) =
1
4
G.  00 () =
⇒  0 ()  0 ⇔ 1    3,
H.
6(22 − 4 + 3)
.
3 ( − 3)4
Note that 22 − 4 + 3  0 for all  since it has negative discriminant.
So  00 ()  0 ⇔   0 ⇒  is CU on (0 3) and (3 ∞) and
CD on (−∞ 0). No IP
24.  =  () =
1
1
−
2
( − 2)2
1
1
=
2
( − 2)2
A.  = { |  6= 0 2} B. ­intercept: none; ­intercept:  () = 0 ⇒
⇔ ( − 2)2 = 2
⇔ 2 − 4 + 4 = 2
⇔ 4 = 4 ⇔  = 1 C. No symmetry
D. lim () = ∞ and lim  () = −∞, so  = 0 and  = 2 are VA; lim  () = 0, so  = 0 is a HA
→0
→2
E.  0 () = −
→±∞
2
2
+
0 ⇒
3
( − 2)3
−( − 2)3 + 3
0 ⇔
3 ( − 2)3
−3 + 62 − 12 + 8 + 3
0 ⇔
3 ( − 2)3
2(32 − 6 + 4)
 0. The numerator is positive (the discriminant of the quadratic is negative), so  0 ()  0 if   0 or
3 ( − 2)3
  2, and hence,  is increasing on (−∞ 0) and (2 ∞) and decreasing on (0 2).
F. No local extreme values G.  00 () =
( − 2)4 − 4
0 ⇔
4 ( − 2)4
6
6
−
0 ⇒
4
( − 2)4
H.
4 − 83 + 242 − 32 + 16 − 4
0 ⇔
4 ( − 2)4
−8(3 − 32 + 4 − 2)
0 ⇔
4 ( − 2)4
−8( − 1)(2 − 2 + 2)
 0. So  00 is
4 ( − 2)4
positive for   1 [ 6= 0] and negative for   1 [ 6= 2]. Thus,  is CU on
(−∞ 0) and (0 1) and  is CD on (1 2) and (2 ∞). IP at (1 0)
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°
485
486
¤
CHAPTER 4 APPLICATIONS OF DIFFERENTIATION
25.  = () =
( − 1)3
3 − 32 + 3 − 1
3 − 1
=
= −3+
2

2
2
A.  = { |  6= 0} = (−∞ 0) ∪ (0 ∞)
B. ­intercept: none; ­intercept:  () = 0 ⇔  = 1 C. No symmetry D. lim
→0−
lim  () = −∞, so  = 0 is a VA. () − ( − 3) =
→0+
E.  0 () =
3 − 1
→ 0 as  → ±∞, so  =  − 3 is a SA.
2
2 · 3( − 1)2 − ( − 1)3 (2)
( − 1)2 [3 − 2( − 1)]
( − 1)2 ( + 2) 0
=
=
.  ()  0 for −2    0,
2
2
4
( )

3
H.
so  is increasing on (−∞ −2), decreasing on (−2 0), and increasing on (0 ∞).
F. Local maximum value  (−2) = − 27
4
 0 () = 1 −
( − 1)3
= −∞ and
2
3
2
+ 3
2

⇒  00 () =
G. () =  − 3 +
1
3
− 2


⇒
6
6
6 − 6
6( − 1)
− 4 =
=
.
3

4
4
 00 ()  0 for   1, so  is CD on (−∞ 0) and (0 1), and  is CU on (1 ∞).
There is an inflection point at (1 0).
26.  =  () =
√
√
1 −  + 1 +  A. 1 −  ≥ 0 and 1 +  ≥ 0 ⇒  ≤ 1 and  ≥ −1, so  = [−1 1].
B. ­intercept:  (0) = 1 + 1 = 2; no ­intercept because  ()  0 for all .
C.  (−) = (), so the curve is symmetric about the ­axis D. No asymptote
√
√
1
− 1++ 1−
−1
√
√
+ √
=
0 ⇒
E.  0 () = 12 (1 − )−12 (−1) + 12 (1 + )−12 = √
2 1− 2 1+
2 1− 1+
√
√
√
√
1 −   1 +  ⇒ 1 −   1 +  ⇒ −2  0 ⇒   0, so  0 ()  0 for
− 1++ 1−0 ⇒
−1    0 and  0 ()  0 for 0    1. Thus,  is increasing on (−1 0)
H.
and decreasing on (0 1). F. Local maximum value  (0) = 2
 
 
G.  00 () = − 12 − 12 (1 − )−32 (−1) + 12 − 12 (1 + )−32
=
−1
−1
+
0
4(1 − )32
4(1 + )32
for all  in the domain, so  is CD on (−1 1). No IP
27.  =  () = 
√
2 +  A.  = [−2 ∞) B. ­intercept: (0) = 0; ­intercepts: −2 and 0 C. No symmetry
√
3 + 4

1
√
+ 2+= √
[ + 2(2 + )] = √
= 0 when  = − 43 , so  is
2 2+
2 2+
2 2+

√




 
decreasing on −2 − 43 and increasing on − 43  ∞ . F. Local minimum value  − 43 = − 43 23 = − 4 9 6 ≈ −109,
D. No asymptote E.  0 () =
no local maximum
H.
√
1
2 2 +  · 3 − (3 + 4) √
6(2 + ) − (3 + 4)
2+
G.  00 () =
=
4(2 + )
4(2 + )32
=
3 + 8
4(2 + )32
 00 ()  0 for   −2, so  is CU on (−2 ∞). No IP
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°
CHAPTER 4 REVIEW
28.  =  () = 23 ( − 3)2
¤
A.  = B. ­intercept:  (0) = 0; ­intercepts:  () = 0 ⇔  = 0, 3
C. No symmetry D. No asymptote
E.  0 () = 23 · 2( − 3) + ( − 3)2 · 23 −13 = 23 −13 ( − 3)[3 + ( − 3)] = 23 −13 ( − 3)(4 − 3).




 0 ()  0 ⇔ 0    34 or   3, so  is decreasing on (−∞ 0), increasing on 0 34 , decreasing on 34  3 , and
increasing on (3 ∞). F. Local minimum value  (0) =  (3) = 0; local maximum value


   23  9 2
81 3 9
3 9
− 4 = 81
=
[ 418]
 34 = 34
16
16
32
2
G.  0 () =
 00 () =


2 −13

3
2 −13
3

(42 − 15 + 9) ⇒
H.



(8 − 15) + (42 − 15 + 9) − 29 −43
= 29 −43 [3(8 − 15) − (42 − 15 + 9)]
= 29 −43 (202 − 30 − 9)
 00 () = 0 ⇔   −026 or 176.  00 () does not exist at  = 0.
 is CU on (−∞ −026), CD on (−026 0), CD on (0 176), and CU on
(176 ∞). There are inflection points at (−026 428) and (176 225).
29.  =  () =  sin , − ≤  ≤ 
A.  = [− ] B. ­intercept:  (0) = 0;  () = 0 ⇔ sin  = 0 ⇒
 = − 0 . C. No symmetry D. No asymptote E.  0 () =  cos  + sin  ·  =  (cos  + sin ).
 0 () = 0 ⇔ − cos  = sin  ⇔ −1 = tan  ⇒  = − 4  3
.  0 ()  0 for − 4    3
and  0 ()  0
4
4






and  is decreasing on − − 4 and 3
   , so  is increasing on − 4  3
 .
for −    − 4 and 3
4
4
4
√


F. Local minimum value  − 4 = (− 22)−4 ≈ −032 and
H.
 34
 3  √
22 
≈ 746
local maximum value  4 =
G.  00 () =  (− sin  + cos ) + (cos  + sin ) =  (2 cos )  0 ⇒
− 2    2 and  00 ()  0 ⇒ −    − 2 and 2    , so  is






CU on − 2  2 , and  is CD on − − 2 and 2   . There are inflection




points at − 2  −−2 and 2  2 .
30.  =  () = 4 − tan , − 2   
curve is symmetric about (0 0)  D.

2


A.  = − 2  2 . B. ­intercept =  (0) = 0 C.  (−) = − (), so the
lim (4 − tan ) = −∞,
→2−
lim
→−2+
(4 − tan ) = ∞, so  =
are VA. E.  0 () = 4 − sec2   0 ⇔ sec   2 ⇔ cos   12 ⇔ − 3   
√




 
  
H.
− 3 is
− 3  3 and decreasing on − 2  − 3 and 3  2  F.  3 = 4
3
  √
a local maximum value,  − 3 = 3 − 4
is a local minimum value.
3

,
3

2
and  = − 2
so  is increasing on
G.  00 () = −2 sec2  tan   0 ⇔ tan   0 ⇔ − 2    0,




so  is CU on − 2  0 and CD on 0 2 . IP at (0 0)
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°
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CHAPTER 4 APPLICATIONS OF DIFFERENTIATION
31.  =  () = sin−1 (1)
A.  = { | −1 ≤ 1 ≤ 1} = (−∞ −1] ∪ [1 ∞)  B. No intercept
C.  (−) = −(), symmetric about the origin D.
lim sin−1 (1) = sin−1 (0) = 0, so  = 0 is a HA.
→±∞


1
−1
− 2 = √
 0, so  is decreasing on (−∞ −1) and (1 ∞).

4 − 2
1
E.  0 () = 
1 − (1)2
F. No local extreme value, but  (1) =

2
is the absolute maximum value
H.
and  (−1) = − 2 is the absolute minimum value.


 22 − 1
43 − 2
G.  00 () =
=
 0 for   1 and  00 ()  0
2(4 − 2 )32
(4 − 2 )32
for   −1, so  is CU on (1 ∞) and CD on (−∞ −1). No IP
2
32.  =  () = 2−
A.  =  B. ­intercept 1; no ­intercept C. No symmetry D.
2
is a HA. E.  =  () = 2−
2
⇒  0 () = 2(1 − )2−  0 ⇔   1, so  is increasing on (−∞ 1) and
decreasing on (1 ∞). F.  (1) =  is a local and absolute maximum value.
√


2
G.  00 () = 2 22 − 4 + 1 2− = 0 ⇔  = 1 ± 22 .

√
√
√ 
 00 ()  0 ⇔   1 − 22 or   1 + 22 , so  is CU on −∞ 1 − 22




√
√
√ 
√ √ 
and 1 + 22  ∞ , and CD on 1 − 22  1 + 22 . IP at 1 ± 22  
33.  =  () = ( − 2)−
2
lim 2− = 0, so  = 0
→±∞
H.
A.  =  B. ­intercept:  (0) = −2; ­intercept: () = 0 ⇔  = 2
C. No symmetry D. lim
→∞
−2 H
1
= lim  = 0, so  = 0 is a HA. No VA
→∞ 

E.  0 () = ( − 2)(−− ) + − (1) = − [−( − 2) + 1] = (3 − )− .
H.
 ()  0 for   3, so  is increasing on (−∞ 3) and decreasing on (3 ∞).
0
F. Local maximum value  (3) = −3 , no local minimum value
G.  00 () = (3 − )(−− ) + − (−1) = − [−(3 − ) + (−1)]
= ( − 4)−  0
for   4, so  is CU on (4 ∞) and CD on (−∞ 4). IP at (4 2−4 )
34.  = () =  + ln(2 + 1)
A.  =  B. ­intercept:  (0) = 0 + ln 1 = 0; ­intercept:  () = 0 ⇔
ln( + 1) = − ⇔  + 1 = −
2
2
⇒  = 0 since the graphs of  = 2 + 1 and  = − intersect only at  = 0.
C. No symmetry D. No asymptote E.  0 () = 1 +
( + 1)2
2 + 2 + 1
2
=
=
.  0 ()  0 if  6= −1 and
2 + 1
2 + 1
2 + 1
 is increasing on . F. No local extreme values
G.  00 () =
(2 + 1)2 − 2(2)
2[(2 + 1) − 22 ]
2(1 − 2 )
=
=
.
(2 + 1)2
(2 + 1)2
(2 + 1)2
H.
 00 ()  0 ⇔ −1    1 and  00 ()  0 ⇔   −1 or   1, so  is
CU on (−1 1) and  is CD on (−∞ −1) and (1 ∞). IP at (−1 −1 + ln 2)
and (1 1 + ln 2)
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°
CHAPTER 4 REVIEW


3 (2) − 2 − 1 32
2 − 1
3 − 2
0
35.  () =
⇒

()
=
=
3
6


4


4 (−2) − 3 − 2 43
22 − 12
=
 00 () =
8

5
¤
489
⇒
Estimates: From the graphs of  0 and  00 , it appears that  is increasing on
(−173 0) and (0 173) and decreasing on (−∞ −173) and (173 ∞);
 has a local maximum of about  (173) = 038 and a local minimum of about
 (−17) = −038;  is CU on (−245 0) and (245 ∞), and CD on
(−∞ −245) and (0 245); and  has inflection points at about
(−245 −034) and (245 034).
3 − 2
is positive for 0  2  3, that is,  is increasing
4
 √ 
 √ 
on − 3 0 and 0 3 ; and  0 () is negative (and so  is decreasing) on
√ 
√

√

−∞ − 3 and
3 ∞ .  0 () = 0 when  = ± 3.
√
 0 goes from positive to negative at  = 3, so  has a local maximum of
Exact: Now  0 () =

√  (√3 )2 − 1
3 = √ 3 =
( 3)
√
2 3
9 ;
and since  is odd, we know that maxima on the
interval (0 ∞) correspond to minima on (−∞ 0), so  has a local minimum of
√
 √ 
22 − 12
 − 3 = − 2 9 3 . Also,  00 () =
is positive (so  is CU) on
5
√ 
√


 √ 
6 ∞ , and negative (so  is CD) on −∞ − 6 and
− 6 0 and
 √
√ √ 
√ 
 √ 
0 6 . There are IP at
6 5366 and − 6 − 5366 .
36.  () =
3 + 1
6 + 1
⇒  0 () = −
32 (6 + 23 − 1)
(6 + 1)2
⇒  00 () =
6(212 + 79 − 96 − 53 + 1)
.
(6 + 1)3
 () = 0 ⇔  = −1.  0 () = 0 ⇔  = 0 or   −134, 075.  00 () = 0 ⇔  = 0 or   −164, −082, 054,
109. From the graphs of  and  0 , it appears that  is decreasing on (−∞ −134), increasing on (−134 075), and
decreasing on (075 ∞).  has a local minimum value of  (−134)  −021 and a local maximum value of  (075)  121.
From the graphs of  and  00 , it appears that  is CD on (−∞ −164), CU on (−164 −082), CD on (−082 0), CU on
(0 054), CD on (054 109) and CU on (109 ∞). There are inflection points at about (−164 −017), (−082 034),
(054 113), (109 086) and at (0 1).
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°
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CHAPTER 4 APPLICATIONS OF DIFFERENTIATION
37.  () = 36 − 55 + 4 − 53 − 22 + 2
⇒  0 () = 185 − 254 + 43 − 152 − 4 ⇒
 00 () = 904 − 1003 + 122 − 30 − 4
From the graphs of  0 and  00 , it appears that  is increasing on (−023 0) and (162 ∞) and decreasing on (−∞ −023)
and (0 162);  has a local maximum of (0) = 2 and local minima of about  (−023) = 196 and  (162) = −192;
 is CU on (−∞ −012) and (124 ∞) and CD on (−012 124); and  has inflection points at about (−012 198) and
(124 −121).
38.  () = 2 + 65 sin , −5 ≤  ≤ 5
⇒  0 () = 2 + 65 cos  ⇒  00 () = 2 − 65 sin .  () = 0 ⇔
 ≈ −225 and  = 0;  0 () = 0 ⇔  ≈ −119, 240, 324;  00 () = 0 ⇔  ≈ −345, 031, 283.
From the graphs of  0 and  00 , it appears that  is decreasing on (−5 −119) and (240 324) and increasing on
(−119 240) and (324 5);  has a local maximum of about  (240) = 1015 and local minima of about
 (−119) = −462 and (324) = 986;  is CU on (−345 031) and
(283 5) and CD on (−5 −345) and (031 283); and  has inflection points
at about (−345 1393), (031 210), and (283 1000).
39.
From the graph, we estimate the points of inflection to be about (±082 022).
2
 () = −1
2
⇒  0 () = 2−3 −1
⇒

2
2
2 
 00 () = 2[−3 (2−3 )−1 + −1 (−3−4 )] = 2−6 −1 2 − 32 .

This is 0 when 2 − 32 = 0 ⇔  = ± 23 , so the inflection points

 
are ± 23  −32 .
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°
CHAPTER 4 REVIEW
40. (a)
(b)  () =
¤
491
1
.
1 + 1
lim  () =
→∞
1
1
1
1
= , lim  () =
= ,
1+1
2 →−∞
1+1
2
as  → 0+ , 1 → ∞, so 1 → ∞ ⇒
as  → 0− , 1 → −∞, so 1 → 0 ⇒
lim  () = 0,
→0+
lim  () =
→0−
1
=1
1+0
(c) From the graph of  , estimates for the IP are (−04 09) and (04 008).
(d)  00 () = −
1 [1 (2 − 1) + 2 + 1]
4 (1 + 1)3
(e) From the graph, we see that  00 changes sign at  = ±0417
( = 0 is not in the domain of  ). IP are approximately (0417 0083)
and (−0417 0917).
cos2 
, − ≤  ≤ 
2 +  + 1
41.  () = √
 00 () = −
⇒  0 () = −
cos  [(2 + 1) cos  + 4(2 +  + 1) sin ]
2(2 +  + 1)32
⇒
(84 + 163 + 162 + 8 + 9) cos2  − 8(2 +  + 1)(2 + 1) sin  cos  − 8(2 +  + 1)2 sin2 
4(2 +  + 1)52
 () = 0 ⇔  = ± 2 ;  0 () = 0 ⇔  ≈ −296, −157, −018, 157, 301;
 00 () = 0 ⇔  ≈ −216, −075, 046, and 221.
The ­coordinates of the maximum points are the values at which  0 changes from positive to negative, that is, −296,
−018, and 301. The ­coordinates of the minimum points are the values at which  0 changes from negative to positive, that
is, −157 and 157. The ­coordinates of the inflection points are the values at which  00 changes sign, that is, −216, −075,
046, and 221.


−01 (2 − 1) ln(2 − 1) − 20
⇒
42.  () = 
ln( − 1) ⇒  () =
10(1 − 2 )


−01 (2 − 1)2 ln(2 − 1) − 40(3 + 52 −  + 5)
 00 () =
.
100(2 − 1)2
√
The domain of  is (−∞ −1) ∪ (1 ∞).  () = 0 ⇔  = ± 2;  0 () = 0 ⇔  ≈ 587;
−01
2
0
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CHAPTER 4 APPLICATIONS OF DIFFERENTIATION
 00 () = 0 ⇔  ≈ −431 and 1174.
 0 changes from positive to negative at  ≈ 587, so 587 is the ­coordinate of the maximum point. There is no minimum
point. The ­coordinates of the inflection points are the values at which  00 changes sign, that is, −431 and 1174.
43. The family of functions  () = ln(sin  + ) all have the same period and all
have maximum values at  =

2
+ 2. Since the domain of ln is (0 ∞),  has
a graph only if sin  +   0 somewhere. Since −1 ≤ sin  ≤ 1, this happens
if   −1, that is,  has no graph if  ≤ −1. Similarly, if   1, then
sin  +   0 and  is continuous on (−∞ ∞). As  increases, the graph of
 is shifted vertically upward and flattens out. If −1   ≤ 1,  is defined where sin  +   0 ⇔ sin   − ⇔


sin−1 (−)     − sin−1 (−). Since the period is 2, the domain of  is 2 + sin−1 (−) (2 + 1) − sin−1 (−) ,
 an integer.
44. We exclude the case  = 0, since in that case  () = 0 for all . To find the maxima and minima, we differentiate:
2
() = −


2
2
2
⇒  0 () =  − (−2) + − (1) = − (−22 + 1)
√
This is 0 where −22 + 1 = 0 ⇔  = ±1 2. So if   0, there are two maxima or minima, whose ­coordinates
approach 0 as  increases. The negative solution gives a minimum and the positive solution gives a maximum, by the First
√

2
√ 
√ 


Derivative Test. By substituting back into the equation, we see that  ±1 2 =  ±1 2 −(±1 2 ) = ± 2.
So as  increases, the extreme points become more pronounced. Note that if   0, then lim () = 0. If   0, then there
→±∞
are no extreme values, and lim () = ∓∞.
→±∞

2
To find the points of inflection, we differentiate again:  0 () = − −22 + 1 ⇒


2
2
2
 00 () =  − (−4) + (−22 + 1)(−2− ) = −22 − (3 − 22 ). This is 0 at  = 0 and where

 


3 − 22 = 0 ⇔  = ± 3(2) ⇒ IP at ± 3(2) ± 32 −32 . If   0 there are three inflection points,
and as  increases, the ­coordinates of the nonzero inflection points approach 0. If   0, there is only one inflection point,
the origin.
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CHAPTER 4 REVIEW
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493
45. Let  () = 3 + 2 cos  + 5. Then (0) = 7  0 and  (−) = −3 − 2 + 5 = −3 + 3 = −3( − 1)  0 and since  is
continuous on  (hence on [− 0]), the Intermediate Value Theorem assures us that there is at least one solution of  in
[− 0]. Now  0 () = 3 − 2 sin   0 implies that  is increasing on , so there is exactly one solution of  , and hence,
exactly one real solution of the equation 3 + 2 cos  + 5 = 0.
46. By the Mean Value Theorem,  0 () =
 (4) −  (0)
4−0
⇔ 4 0 () =  (4) − 1 for some  with 0    4. Since
2 ≤  0 () ≤ 5, we have 4(2) ≤ 4 0 () ≤ 4(5) ⇔ 4(2) ≤  (4) − 1 ≤ 4(5) ⇔ 8 ≤  (4) − 1 ≤ 20 ⇔
9 ≤ (4) ≤ 21.
47. Since  is continuous on [32 33] and differentiable on (32 33), then by the Mean Value Theorem there exists a number  in
(32 33) such that  () =
0
1 −45

5
√
√
5
√
33 − 5 32
= 5 33 − 2, but 15 −45  0 ⇒
=
33 − 32
√
5
33 − 2  0 ⇒
 0 is decreasing, so that  0 ()   0 (32) = 15 (32)−45 = 00125 ⇒ 00125   0 () =
√
Therefore, 2  5 33  20125.
48. Since the point (1 3) is on the curve  = 3 + 2 , we have 3 = (1)3 + (1)2
√
5
33 − 2 ⇒
√
5
33  2. Also
√
5
33  20125.
⇒ 3 =  +  (1).
 0 = 32 + 2 ⇒  00 = 6 + 2.  00 = 0 [for inflection points] ⇔  =

−2
= − . Since we want  = 1,
6
3

⇒  = −3. Combining with (1) gives us 3 =  − 3 ⇔ 3 = −2 ⇔  = − 32 . Hence,
3
 
 = −3 − 32 = 92 and the curve is  = − 32 3 + 92 2 .
1=−
49. (a) () =  (2 )
⇒ 0 () = 2 0 (2 ) by the Chain Rule. Since  0 ()  0 for all  6= 0, we must have  0 (2 )  0 for
 6= 0, so  0 () = 0 ⇔  = 0. Now  0 () changes sign (from negative to positive) at  = 0, since one of its factors,
 0 (2 ), is positive for all , and its other factor, 2, changes from negative to positive at this point, so by the First
Derivative Test,  has a local and absolute minimum at  = 0.
(b)  0 () = 2 0 (2 ) ⇒  00 () = 2[ 00 (2 )(2) +  0 (2 )] = 42  00 (2 ) + 2 0 (2 ) by the Product Rule and the Chain
Rule. But 2  0 for all  6= 0,  00 (2 )  0 [since  is CU for   0], and  0 (2 )  0 for all  6= 0, so since all of its
factors are positive,  00 ()  0 for  6= 0. Whether  00 (0) is positive or 0 doesn’t matter [since the sign of 00 does not
change there];  is concave upward on .
50. Call the two integers  and . Then  + 4 = 1000, so  = 1000 − 4. Their product is  =  = (1000 − 4), so our
problem is to maximize the function  () = 1000 − 4 2 , where 0    250 and  is an integer.  0 () = 1000 − 8, so
 0 () = 0 ⇔  = 125.  00 () = −8  0, so  (125) = 62,500 is an absolute maximum. Since the optimal  turned
out to be an integer, we have found the desired pair of numbers, namely  = 1000 − 4(125) = 500 and  = 125.
51. If  = 0, the line is vertical and the distance from  = −




  |1 + 1 + |
√
to (1  1 ) is 1 +  =
, so assume


2 +  2
 6= 0. The square of the distance from (1  1 ) to the line is  () = ( − 1 )2 + ( − 1 )2 where  +  +  = 0, so
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°
494
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CHAPTER 4 APPLICATIONS OF DIFFERENTIATION
2



− 1
we minimize  () = ( − 1 )2 + −  −








−
− 1
.
⇒  0 () = 2 ( − 1 ) + 2 −  −





 2 1 − 1 − 
2
00
 0. Substituting
 0 () = 0 ⇒  =
and
this
gives
a
minimum
since

()
=
2
1
+
2 +  2
2
this value of  into  () and simplifying gives  () =
(1 + 1 + )2
, so the minimum distance is
2 +  2

|1 + 1 + |
√
() =
.
2 +  2
52. On the hyperbola  = 8, if () is the distance from the point ( ) = ( 8) to the point (3 0), then
53.
[()]2 = ( − 3)2 + 642 =  ().  0 () = 2( − 3) − 1283 = 0 ⇒ 4 − 33 − 64 = 0 ⇒


( − 4) 3 + 2 + 4 + 16 = 0 ⇒  = 4 since the solution must have   0. Then  = 84 = 2, so the point is (4 2).
By similar triangles,


= √
, so the area of the triangle is

2 − 2
2
⇒
() = 12 (2) =  = √
2
 − 2
√
√
2 ( − 3)
2 2 − 2 − 2 ( − ) 2 − 2
0 () =
=
=0
2
 − 2
(2 − 2)32
when  = 3
√
(92 )
0 ()  0 when 2    3, 0 ()  0 when   3. So  = 3 gives a minimum and (3) = √
= 3 3 2 .
3
54.
The volume of the cone is  = 13  2 ( + ) = 13 (2 − 2 )( + ), − ≤  ≤ .
 0 () =
=

[(2
3

3 (
− 2 ) (1) + ( + )(−2)] =

[(
3
+ )( −  − 2)]
+ )( − 3) = 0 when  = − or  = 3.
Now  () = 0 =  (−), so the maximum occurs at  = 3 and the volume is
 
 
323
2
4
=
2 −
=
.

3
3
9
3
81
55.
√
We minimize () = | | + | | + | | = 2 2 + 16 + (5 − ),
√
√
0 ≤  ≤ 5. 0 () = 2 2 + 16 − 1 = 0 ⇔ 2 = 2 + 16 ⇔
 
42 = 2 + 16 ⇔  = √43 . (0) = 13,  √43 ≈ 119, (5) ≈ 128, so the
minimum occurs when  =
56.
4
√
3
≈ 23.
If || = 2, the last part of () changes from (5 − ) to (2 − ) with
0 ≤  ≤ 2. But we still get 0 () = 0 ⇔  =
[0 2]. Now (0) = 10 and (2) = 2
√4 ,
3
which isn’t in the interval
√
√
20 = 4 5 ≈ 89. The minimum occurs
when  = .
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°
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CHAPTER 4 REVIEW
57.  = 



+


⇒


= 

2 () + ()


1
− 2



=0 ⇔
1

= 2


⇔ 2 =  2
495
⇔  = .
This gives the minimum velocity since  0  0 for 0     and  0  0 for   .
58.
We minimize the surface area  = 2 + 2 + 12 (42 ) = 32 + 2.
 − 23 3

Solving  = 2  + 23 3 for , we get  =
=
− 23 , so
2
2


2

2
() = 32 + 2
.
−

= 53 2 +
3
2

 0 () = −
2
+
2
10

3
=
10
3
3
− 2
2
This gives an absolute minimum since  0 ()  0 for 0   

3
=0 ⇔
10
3
3
= 2 ⇔ 3 =
3
and  0 ()  0 for  
5

3
3
5
⇔ =

3
3
.
5
3
. Thus,
5
3




 − 23  ·
 − 25  3 (5)2
3 3 (5)2
3
5



=
=
=
=
= 3
3
3
2
2
5
2
 (3 )
5 (3 )
3 (3 )

(5)2
59. Let  denote the number of $1 decreases in ticket price. Then the ticket price is $12 − $1(), and the average attendance is
11,000 + 1000(). Now the revenue per game is
() = (price per person) × (number of people per game)
= (12 − )(11,000 + 1000) = −10002 + 1000 + 132,000
for 0 ≤  ≤ 4 [since the seating capacity is 15,000] ⇒ 0 () = −2000 + 1000 = 0 ⇔  = 05. This is a
maximum since 00 () = −2000  0 for all . Now we must check the value of () = (12 − )(11,000 + 1000) at
 = 05 and at the endpoints of the domain to see which value of  gives the maximum value of .
(0) = (12)(11,000) = 132,000, (05) = (115)(11,500) = 132,250, and (4) = (8)(15,000) = 120,000. Thus, the
maximum revenue of $132,250 per game occurs when the average attendance is 11,500 and the ticket price is $1150.
60. (a) () = 1800 + 25 − 022 + 00013 and
() = () = 482 − 0032 .
The profit is maximized when  0 () = 0 ().
From the figure, we estimate that the tangents are parallel when  ≈ 160.
(b)  0 () = 25 − 04 + 00032 and 0 () = 482 − 006.  0 () = 0 () ⇒ 00032 − 034 − 232 = 0 ⇒
1 ≈ 1613 (  0). 00 () = −006 and  00 () = −04 + 0006, so 00 (1 ) = −006   00 (1 ) ≈ 057 ⇒
profit is maximized by producing 161 units.
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°
496
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CHAPTER 4 APPLICATIONS OF DIFFERENTIATION
(c) () =
1800
()
=
+ 25 − 02 + 00012 is the average cost. Since


the average cost is minimized when the marginal cost equals the average
cost, we graph () and  0 () and estimate the point of intersection.
From the figure,  0 () = () ⇔  ≈ 144.
61.  () = 5 − 4 + 32 − 3 − 2
⇒  0 () = 54 − 43 + 6 − 3, so +1 =  −
5 − 4 + 32 − 3 − 2
.
54 − 43 + 6 − 3
Now 1 = 1 ⇒ 2 = 15 ⇒ 3 ≈ 1343860 ⇒ 4 ≈ 1300320 ⇒ 5 ≈ 1297396 ⇒
6 ≈ 1297383 ≈ 7 , so the solution in [1 2] is 1297383, to six decimal places.
62. Graphing  = sin  and  = 2 − 3 + 1 shows that there are two
solutions, one about 03 and the other about 28.
 () = sin  − 2 + 3 − 1 ⇒  0 () = cos  − 2 + 3 ⇒
+1 =  −
sin  − 2 + 3 − 1
. Now 1 = 03 ⇒
cos  − 2 + 3
2 ≈ 0268552 ⇒ 3 ≈ 0268881 ≈ 4 and 1 = 28 ⇒
2 ≈ 2770354 ⇒ 3 ≈ 2770058 ≈ 4 , so to six decimal places, the
solutions are 0268881 and 2770058.
63.  () = cos  +  − 2
⇒  0 () = − sin  + 1 − 2.  0 () exists for all
, so to find the maximum of  , we can examine the zeros of  0 .
From the graph of  0 , we see that a good choice for 1 is 1 = 03.
Use () = − sin  + 1 − 2 and 0 () = − cos  − 2 to obtain
2 ≈ 033535293, 3 ≈ 033541803 ≈ 4 . Since  00 () = − cos  − 2  0
for all , (033541803) ≈ 116718557 is the absolute maximum.
64.  =  () =  sin , 0 ≤  ≤ 2.
A.  = [0 2] B. ­intercept:  (0) = 0; ­intercepts: () = 0 ⇔  = 0 or
sin  = 0 ⇔  = 0, , or 2. C. There is no symmetry on , but if  is defined for all real numbers , then  is an even
function. D. No asymptote E.  0 () =  cos  + sin . To find critical numbers in (0 2), we graph  0 and see that there
are two critical numbers, about 2 and 49. To find them more precisely, we use Newton’s method, setting
() =  0 () =  cos  + sin , so that  0 () =  00 () = 2 cos  −  sin  and +1 =  −
 cos  + sin 
.
2 cos  −  sin 
1 = 2 ⇒ 2 ≈ 2029048, 3 ≈ 2028758 ≈ 4 and 1 = 49 ⇒ 2 ≈ 4913214, 3 ≈ 4913180 ≈ 4 , so the
critical numbers, to six decimal places, are 1 = 2028758 and 2 = 4913180. By checking sample values of  0 in (0 1 ),
(1  2 ), and (2  2), we see that  is increasing on (0 1 ), decreasing on (1  2 ), and increasing on (2  2). F. Local
maximum value  (1 ) ≈ 1819706, local minimum value  (2 ) ≈ −4814470. G.  00 () = 2 cos  −  sin . To find
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CHAPTER 4 REVIEW
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497
points where  00 () = 0, we graph  00 and find that  00 () = 0 at about 1 and 36. To find the values more precisely,
we use Newton’s method. Set () =  00 () = 2 cos  −  sin . Then 0 () = −3 sin  −  cos , so
+1 =  −
2 cos  −  sin 
. 1 = 1 ⇒ 2 ≈ 1078028, 3 ≈ 1076874 ≈ 4 and 1 = 36 ⇒
−3 sin  −  cos 
2 ≈ 3643996 3 ≈ 3643597 ≈ 4 , so the zeros of  00 , to six decimal places, are 3 = 1076874 and 4 = 3643597.
By checking sample values of  00 in (0 3 ), (3  4 ), and (4  2), we see that 
H.
is CU on (0 3 )  CD on (3  4 ), and CU on (4  2).  has inflection points at
(3  (3 ) ≈ 0948166) and (4   (4 ) ≈ −1753240).
√
65.  () = 4  − 62 + 3 = 412 − 62 + 3

⇒  () = 4
⇒ () =
67.  () = 2 sin  − 3
⇒  () = −2 cos  − 3 + 
68.  () = 
+ cosh  ⇒  () =
69.  0 () = 2 − 3 sin 
2 32

3
−1
ln(−) + tan


−6
1
3

3 + 3 +  = 83 32 − 23 + 3 + 
if   0
ln  + tan−1  + 1
1
1
66. () = + 2

 +1
−3

if   0
 + 2
if   0
−1(22 ) + sinh  + 1
if   0
−1(22 ) + sinh  + 2
⇒  () = 2 + 3 cos  + .
 (0) = 3 +  and  (0) = 5 ⇒  = 2, so  () = 2 + 3 cos  + 2.
70.  0 () =
 (1) =
√
2 + 
=  + −12

1
2
⇒  () = 12 2 + 212 + .
+ 2 +  and (1) = 3 ⇒  = 12 , so  () = 12 2 + 2
71.  00 () = 1 − 6 + 482
√
 + 12 .
⇒  0 () =  − 32 + 163 + .  0 (0) =  and  0 (0) = 2 ⇒  = 2, so
 0 () =  − 32 + 163 + 2 and hence, () = 12 2 − 3 + 44 + 2 + .
 (0) =  and  (0) = 1 ⇒  = 1, so  () = 12 2 − 3 + 44 + 2 + 1.
72.  00 () = 53 + 62 + 2
⇒  0 () = 54 4 + 23 + 2 + 
and  (0) = 3, so  = 3. Also,  (1) =
Thus, () = 14 5 + 12 4 + 2 −
27

4
1
4
+
1
2
⇒  () = 14 5 + 12 4 + 2 +  + . Now  (0) = 
+1+ +3 = +
19
4
and  (1) = −2, so  +
19
4
= −2 ⇒  = − 27
.
4
+ 3.
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CHAPTER 4 APPLICATIONS OF DIFFERENTIATION
73. () = 0 () = 2 −
1
1 + 2
⇒ () = 2 − tan−1  + .
(0) = 0 − 0 +  =  and (0) = 1 ⇒  = 1, so () = 2 − tan−1  + 1.
74. () =  0 () = sin  + 3 cos 
⇒ () = − cos  + 3 sin  + .
(0) = −1 + 0 +  and (0) = 2 ⇒  = 3, so () = − cos  + 3 sin  + 3 and () = − sin  − 3 cos  + 3 + .
(0) = −3 +  and (0) = 0 ⇒  = 3, and () = − sin  − 3 cos  + 3 + 3.
75. (a) Since  is 0 just to the left of the ­axis, we must have a minimum of  at the same place since we are increasing through
(0 0) on  . There must be a local maximum to the left of  = −3, since  changes from positive to negative there.
(b)  () = 01 + sin  ⇒
(c)
 () = 01 − cos  + .  (0) = 0 ⇒
01 − 1 +  = 0 ⇒  = 09, so
 () = 01 − cos  + 09.
76.  () = 4 + 3 + 2


⇒  0 () = 43 + 32 + 2. This is 0 when  42 + 3 + 2 = 0 ⇔  = 0
or 42 + 3 + 2 = 0. Using the quadratic formula, we find that the solutions of this last equation are  =
Now if 9 − 32  0 ⇔  
9
32 ,
then (0 0) is the only critical point, a minimum. If  =
9
32 ,
−3 ±
√
9 − 32
.
8
then there are two critical
points (a minimum at  = 0, and a horizontal tangent with no maximum or minimum at  = − 38 ) and if  
9
,
32
then there are
three critical points except when  = 0, in which case the solution with the + sign coincides with the critical point at  = 0.
√
√
3
3
9 − 32
9 − 32
9
For 0    32 , there is a minimum at  = − −
, a maximum at  = − +
, and a minimum at
8
8
8
8
 = 0. For  = 0, there is a minimum at  = − 34 and a horizontal tangent with no extremum at  = 0, and for   0, there is
√
9 − 32
3
. Now we calculate  00 () = 122 + 6 + 2.
a maximum at  = 0, and there are minima at  = − ±
8
8
√
−6 ± 36 − 4 · 12 · 2
. So if 36 − 96 ≤ 0 ⇔  ≥ 38 , then there is no inflection
The solutions of this equation are  =
24
√
1
9 − 24
.
point. If   38 , then there are two inflection points at  = − ±
4
12
[continued]
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°
¤
CHAPTER 4 REVIEW
Value of 
No. of CP No. of IP
0
=0
0
=
9
32
9
32
9
32

≥
499
3
8
3
8
3
2
2
2
3
2
2
2
1
2
1
0
77. Choosing the positive direction to be upward, we have () = −98
0
⇒ () = −98 + 0 , but (0) = 0 = 0
⇒
() = −98 =  () ⇒ () = −49 + 0 , but (0) = 0 = 500 ⇒ () = −49 + 500. When  = 0,


500
−492 + 500 = 0 ⇒ 1 = 500
49 ≈ 101 ⇒ (1 ) = −98
49 ≈ −98995 ms. Since the canister has been
2
2
designed to withstand an impact velocity of 100 ms, the canister will not burst.
78. Let  () and  () be the position functions for cars  and  and let  () =  () − (). Since  passed  twice, there
must be three values of  such that  () = 0. Then by three applications of Rolle’s Theorem (see Exercise 4.2.26), there is a
number  such that  00 () = 0. So 00 () = 00 (); that is,  and  had equal accelerations at  = . We assume that  is
continuous on [0  ] and twice differentiable on (0  ), where  is the total time of the race.
79. (a)
The cross­sectional area of the rectangular beam is
√
 = 2 · 2 = 4 = 4 100 − 2 , 0 ≤  ≤ 10, so
 

= 4 12 (100 − 2 )−12 (−2) + (100 − 2 )12 · 4



4[−2 + 100 − 2 ]
−42
2 12
+ 4(100 −  )
=
.
=
(100 − 2 )12
(100 − 2 )12



= 0 when −2 + 100 − 2 = 0 ⇒

2 = 50 ⇒  =

√
√ 2 √
50 ≈ 707 ⇒  = 100 −
50 = 50.
Since (0) = (10) = 0, the rectangle of maximum area is a square.
The cross­sectional area of each rectangular plank (shaded in the figure) is
√ 
√
√ 
√

 = 2  − 50 = 2 100 − 2 − 50 , 0 ≤  ≤ 50, so
(b)
√ 
√
 

= 2 100 − 2 − 50 + 2 12 (100 − 2 )−12 (−2)

= 2(100 − 2 )12 − 2
Set
√
50 −
22
(100 − 2 )12
√
√

= 0: (100 − 2 ) − 50 (100 − 2 )12 − 2 = 0 ⇒ 100 − 22 = 50 (100 − 2 )12

⇒
10,000 − 4002 + 44 = 50(100 − 2 ) ⇒ 44 − 3502 + 5000 = 0 ⇒ 24 − 1752 + 2500 = 0 ⇒
√
√
175 ± 10,625
2 =
≈ 6952 or 1798 ⇒  ≈ 834 or 424. But 834  50, so 1 ≈ 424 ⇒
4

√
√
 − 50 = 100 − 21 − 50 ≈ 199. Each plank should have dimensions about 8 12 inches by 2 inches.
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°
500
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CHAPTER 4 APPLICATIONS OF DIFFERENTIATION
(c) From the figure in part (a), the width is 2 and the depth is 2, so the strength is
 = (2)(2)2 = 82 = 8(100 − 2 ) = 800 − 83 , 0 ≤  ≤ 10.  = 800 − 242 = 0 when

√
√
10
⇒ = √
⇒  = 200
= 10√3 2 = 2 . Since (0) = (10) = 0, the
242 = 800 ⇒ 2 = 100
3
3
3
maximum strength occurs when  =
10
√
.
3
The dimensions should be
20
√
3
≈ 1155 inches by
√
20
√ 2
3
≈ 1633 inches.

2 . The parabola intersects the line when
2 2 cos2 

2 ⇒
(tan ) = (tan ) − 2
2 cos2 
80. (a)
 = (tan ) −
=

() =
=
cos 

(tan  − tan )2 2 cos2 

sin 
sin 
−
cos 
cos 

= (sin  cos  − sin  cos )
(b) 0 () =
=
2 2 cos2 
=
 cos 

⇒

sin 
sin 
2 2 cos 
−
(cos  cos )
cos 
cos 
 cos2 
2 2 cos 
22 cos 
=
sin(
−
)
 cos2 
 cos2 
2 2
2 2
[cos  · cos( − ) + sin( − )(− sin )] =
cos[ + ( − )]
2
 cos 
 cos2 
2 2
cos(2 − ) = 0
 cos2 
when cos(2 − ) = 0 ⇒ 2 −  =

2
⇒ =


2 + 
= + . The First Derivative Test shows that this
2
4
2
gives a maximum value for (). [This could be done without calculus by applying the formula for sin  cos  to ().]
Replacing  by − in part (a), we get () =
(c)
2 2 cos  sin( + )
.
 cos2 
Proceeding as in part (b), or simply by replacing  by − in the result of
part (b), we see that () is maximized when  =
81.


1
 + −
−
 − −

→0+



 
  + − − 1  − −
 + − −  + −
= lim
= lim

−
( −  ) 
 − −
→0+
→0+




 +  · 1 +  −− + − · 1 −  + −−
H
= lim
 +  · 1 − [(−− ) + − · 1]
→0+
lim  () = lim
→0+
= lim
→0+
=
→0+

 − −
= lim
+  + − − −
→0+
0
 − −
, where  = lim
2+

→0+
Thus, lim  () =


− .
4
2
0
= 0.
2+2
 − −

−
+ − −
 +




form is 00
H
= lim
→0+


form is 00
[divide by ]
1+1
 + −
=
=2
1
1
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°
CHAPTER 4 REVIEW

¤
501


√

ln cosh 

ln cosh
[let  = ()]
82. lim () = lim
=  lim



→0+
→0+
→0+
 √ 
√
1

√
√ (sinh  )
√
√
cosh

2

 
tanh 
H
√
=
lim
=  lim
1
2 →0+
→0+




√
√
√
√
sech2 
 2 
√





H 
√
=
lim
lim sech2  =
(1)2 =
=
=
+
+
2 →0
2 →0
2
2
2
1 (2  )
83. We first show that
 0 () =


 tan−1  for   0. Let  () = tan−1  −
. Then
1 + 2
1 + 2
1
1(1 + 2 ) − (2)
(1 + 2 ) − (1 − 2 )
22
−
=
=
 0 for   0. So  () is increasing
2
2
2
2
2
1+
(1 +  )
(1 +  )
(1 + 2 )2
on (0 ∞). Hence, 0   ⇒ 0 =  (0)   () = tan−1  −


. So
 tan−1  for 0  . We next show
1 + 2
1 + 2
that tan−1    for   0. Let () =  − tan−1 . Then 0 () = 1 −
1
2
=
 0. Hence, () is increasing
2
1+
1 + 2
on (0 ∞). So for 0  , 0 = (0)  () =  − tan−1 . Hence, tan−1    for   0, and we conclude that

 tan−1    for   0.
1 + 2
84. If  0 ()  0 for all ,  00 ()  0 for ||  1,  00 ()  0 for ||  1, and
lim [ () + ] = 0, then  is decreasing everywhere, concave up on
→±∞
(−∞ −1) and (1 ∞), concave down on (−1 1), and approaches the line
 = − as  → ±∞. An example of such a graph is sketched.
85. Let  be the diameter of the semicircle. Then, from the given figure and the Law of Cosines, 2 = 2 + 2 − 2 ·  · cos .
The radius of the semicircle is 12 , or
1
2
√
22 − 22 cos . The area of the figure is given by
() = area of triangle + area of circle
 √
2
= 12  ·  · sin  + 12  12 22 − 22 cos  = 12 2 sin  + 18 (22 − 22 cos )
0 () = 12 2 cos  + 14 2 sin  = 0 ⇒
1
2
4
sin  = − 12 2 cos 
⇒ tan  = −
2

⇒




2
2
 = tan−1 −
+  ( an integer). We let  = 1 so that 0 ≤  ≤ , giving  = tan−1 −
+   147.5◦ .


00 () = − 12 2 sin  + 14 2 cos   0 [. is a second­quadrant angle, so sin   0 and cos   0], so this value of  gives
a maximum.
86. (a)  0 () is the rate of change of the volume of the water with respect to time.  0 () is the rate of change of the height of the
water with respect to time. Since the volume and the height are increasing,  0 () and  0 () are positive.
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CHAPTER 4 APPLICATIONS OF DIFFERENTIATION
(b)  0 () is constant, so  00 () is zero (the slope of a constant function is 0).
(c) At first, the height  of the water increases quickly because the tank is narrow. But as the sphere widens, the rate of
increase of the height slows down, reaching a minimum at  = 2 . Thus, the height is increasing at a decreasing rate on
(0 2 ), so its graph is concave downward and  00 (1 )  0. As the sphere narrows for   2 , the rate of increase of the
height begins to increase, and the graph of  is concave upward. Therefore,  00 (2 ) = 0 and  00 (3 )  0.
87. (a)  =
 cos 
()



=
=  3 =  √
3 = 
2
2
2
2

(1600
+
2 )32
40 + 
⇒
(1600 + 2 )32 −  32 (1600 + 2 )12 · 2
(1600 + 2 )12 (1600 + 2 − 32 )

=
=
2
32
2

(1600 + 2 )3
[(1600 +  ) ]
=
(1600 − 22 )
(1600 + 2 )52
[ is the constant of proportionality]
Set  = 0: 1600 − 22 = 0 ⇒ 2 = 800 ⇒  =
√
maximum at  = 20 2 ≈ 28 ft.
(b)
√
√
800 = 20 2. By the First Derivative Test,  has a local
 cos 
[( − 4)]
( − 4)
=
=
2
2
3
−32

( − 4)
=
= ( − 4) ( − 4)2 + 2
32
[( − 4)2 + 2 ]
 =

= 4 fts

−52
 
 


=
·
= ( − 4) − 32 ( − 4)2 + 2
· 2 ·

 

−52

·4=
= ( − 4)(−3) ( − 4)2 + 2

480( − 4)
 
=−
  = 40
[( − 4)2 + 1600]52
−12( − 4)
[( − 4)2 + 2 ]52
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°
PROBLEMS PLUS
2
2
1. Let  =  () = − . The area of the rectangle under the curve from − to  is () = 2− where  ≥ 0. We maximize

2
2
2
(): 0 () = 2− − 42 − = 2− 1 − 22 = 0 ⇒  =
for 0 ≤  
√1
2
and 0 ()  0 for  
1
√
.
2
√1 .
2
This gives a maximum since 0 ()  0
We next determine the points of inflection of  (). Notice that
2
 0 () = −2− = −(). So  00 () = −0 () and hence,  00 ()  0 for − √12   
and  
√1 .
2
√1
2
and  00 ()  0 for   − √12
So () changes concavity at  = ± √12 , and the two vertices of the rectangle of largest area are at the inflection
points.
2. Let () = sin  − cos  on [0 2] since  has period 2.  0 () = cos  + sin  = 0
tan  = −1 ⇔  =

 7 
4
3
4
or
7
.
4
⇔ cos  = − sin  ⇔
Evaluating  at its critical numbers and endpoints, we get  (0) = −1, 
 3 
4
=
√
2,
√
√
√
= − 2, and  (2) = −1. So  has absolute maximum value 2 and absolute minimum value − 2. Thus,
√
√
√
− 2 ≤ sin  − cos  ≤ 2 ⇒ |sin  − cos | ≤ 2.
3.  () has the form () , so it will have an absolute maximum (minimum) where  has an absolute maximum (minimum).
2
() = 10| − 2| −  =
0
 () =


10( − 2) − 2
if  − 2  0
10[−( − 2)] − 2 if  − 2  0
=

−2 + 10 − 20 if   2
−2 − 10 + 20 if   2
⇒
−2 + 10 if   2
−2 − 10 if   2
 0 () = 0 if  = −5 or  = 5, and 0 (2) does not exist, so the critical numbers of  are −5, 2, and 5. Since 00 () = −2 for
all  6= 2,  is concave downward on (−∞ 2) and (2 ∞), and  will attain its absolute maximum at one of the critical
numbers. Since (−5) = 45, (2) = −4, and (5) = 5, we see that  (−5) = 45 is the absolute maximum value of  . Also,
lim () = −∞, so lim  () = lim () = 0 But  ()  0 for all , so there is no absolute minimum value of  .
→∞

→∞
4. 2  2 4 − 2
→∞



 



4 −  2 = 2 4 − 2  2 4 −  2 =  () (), where  () = 2 4 − 2 . We will show that 0 ≤  () ≤ 4
for || ≤ 2, which gives 0 ≤  () () ≤ 16 for || ≤ 2 and || ≤ 2.
 () = 42 − 4
√


⇒  0 () = 8 − 43 = 4 2 − 2 = 0 ⇒  = 0 or ± 2.
 √ 
 (0) = 0,  ± 2 = 2(4 − 2) = 4, and  (2) = 0. So 0 is the absolute minimum value of () on [−2 2] and 4 is the
absolute maximum value of  () on [−2 2]. We conclude that 0 ≤  () ≤ 4 for || ≤ 2 and hence, 0 ≤  () () ≤ 42 or

 

0 ≤ 2 4 − 2  2 4 −  2 ≤ 16.
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°
503
¤
504
CHAPTER 4 PROBLEMS PLUS
sin 

5.  =
⇒ 0 =
 cos  − sin 
2
⇒  00 =
−2 sin  − 2 cos  + 2 sin 
. If ( ) is an inflection point,
3
then  00 = 0 ⇒ (2 − 2 ) sin  = 2 cos  ⇒ (2 − 2 )2 sin2  = 42 cos2  ⇒
(2 − 2 )2 sin2  = 42 (1 − sin2 ) ⇒ (4 − 42 + 4 ) sin2  = 42 − 42 sin2  ⇒
(4 + 4 ) sin2  = 42


⇒ (4 + 4)
sin2 
sin 
.
= 4 ⇒  2 (4 + 4) = 4 since  =
2



6. Let   1 − 2 be the point of contact. The equation of the tangent line at  is  − 1 − 2 = (−2)( − )
 − 1 + 2 = −2 + 22
⇒
⇒  = −2 + 2 + 1. To find the ­intercept, put  = 0: 2 = 2 + 1 ⇒
2 + 1
. To find the ­intercept, put  = 0:  = 2 + 1. Therefore, the area of the triangle is
2
 2
2
2
 2



 +1
 +1
1 2 + 1  2
 +1 =
. Therefore, we minimize the function () =
,   0.
2
2
4
4
=


2






 2
 2
(4)2 2 + 1 (2) − 2 + 1 (4)
 + 1 [42 − 2 + 1 ]
 + 1 32 − 1
 () =
=
=
.
162
42
42
0
0 () = 0 when 32 − 1 = 0 ⇒  =
√1 .
3
Test, there is an absolute minimum when  =
 
is  √13 =
7. Let  = lim
→0
0 ()  0 for  
√1 .
3
1
√
,
3
The required point is
√
4 3
.
9
0 ()  0 for  

√1  2
3 3

√1 .
3
So by the First Derivative
and the corresponding minimum area
2 + sin  + sin  + sin 
. Now  has the indeterminate form of type 00 , so we can apply l’Hospital’s
32 + 54 + 76
Rule.  = lim
→0
2 +  cos  +  cos  +  cos 
. The denominator approaches 0 as  → 0, so the numerator must also
6 + 203 + 425
approach 0 (because the limit exists). But the numerator approaches 0 +  +  + , so  +  +  = 0. Apply l’Hospital’s Rule
again.  = lim
→0
2
2 − 0
2 − 2 sin  − 2 sin  −  2 sin 
=
, which must equal 8.
=
6 + 602 + 2104
6+0
6
2
= 8 ⇒  = 24. Thus,  +  +  +  =  + ( +  + ) = 24 + 0 = 24.
6
8. We first present some preliminary results that we will invoke when calculating the limit.
(1) If  = (1 + ) , then ln  =  ln(1 + ), and lim ln  = lim  ln(1 + ) = 0. Thus, lim (1 + ) = 0 = 1.
→0+
→0+
→0+

0
=·
+ ln(1 + ) ⇒

1 + 



+ ln(1 + ) .
⇒  0 = (1 + )
1 + 
(2) If  = (1 + ) , then ln  =  ln(1 + ), and implicitly differentiating gives us
0 = 
(3) If  =



+ ln(1 + ) . Thus,  = (1 + )
1 + 
(1 + ) − ()
 + 2  − 2 


, then  0 =
=
=
.
1 + 
(1 + )2
(1 + )2
(1 + )2
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°
CHAPTER 4 PROBLEMS PLUS
( + 2)1 − 1
1 [(1 + 2)1 − 1]
= lim 1
1
1
→∞ ( + 3)
→∞ 
−
[(1 + 3)1 − 1]
lim
¤
505
[factor out 1 ]
(1 + 2)1 − 1
→∞ (1 + 3)1 − 1
= lim
(1 + 2) − 1
→0+ (1 + 3) − 1


2
+ ln(1 + 2)
(1 + 2)
1 + 2
H


= lim
3
→0+
+ ln(1 + 3)
(1 + 3)
1 + 3
= lim
[let  = 1, form 00 by (1)]
[by (2)]
2
+ ln(1 + 2)
(1 + 2)
1
+
2
· lim
= lim

3
→0+ (1 + 3)
→0+
+ ln(1 + 3)
1 + 3
2
+ ln(1 + 2)
1
1
+
2
= · lim
1 →0+ 3
+ ln(1 + 3)
1 + 3
[by (1), now form 00]
2
2
+
(1 + 2)2
1 + 2
= lim
3
3
→0+
+
(1 + 3)2
1 + 3
[by (3)]
H
=
2+2
4
2
= =
3+3
6
3
9. Differentiating 2 +  +  2 = 12 implicitly with respect to  gives 2 +  + 
At a highest or lowest point,


2 + 

+ 2
= 0, so
=−
.



 + 2

= 0 ⇔  = −2. Substituting −2 for  in the original equation gives

2 + (−2) + (−2)2 = 12, so 32 = 12 and  = ±2. If  = 2, then  = −2 = −4, and if  = −2 then  = 4. Thus,
the highest and lowest points are (−2 4) and (2 −4).
10. Since
 ( + ) −  ()
=  0 ()

(1)
holds for all real numbers  and all positive integers , we have
 ( + 2) − ()
 ( + ) −  ()
=

2
for every real number . It follows that
 ( + 2) − 2 ( + ) = − ()
(2)
Now, again from (1), we can write
 0 () =  ( + ) −  ()
The right­hand side of this equation is differentiable by hypothesis, so the left­hand side is also differentiable. Differentiating
c 2021 Cengage Learning. All Rights Reserved. May not be scanned, copied, or duplicated, or posted to a publicly accessible website, in whole or in part.
°
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¤
CHAPTER 4 PROBLEMS PLUS
and then using (1) again — twice this time — we get
 00 () =  0 ( + ) −  0 ()
=
 ( + ) −  ()
 ( + 2) − 2 ( + ) +  ()
 ( + 2) −  ( + )
−
=



Rearranging this last equation and simplifying using (2), we get
2  00 () =  ( + 2) − 2 ( + ) + () = − () +  () = 0
Thus,  00 () = 0 for all , so  is a linear function.
11. (a)  = 2
⇒  0 = 2, so the slope of the tangent line at  ( 2 ) is 2 and the slope of the normal line is −
1
for
2
1
( − ). Substitute 2 for  to find the ­coordinates of the two
2
 
1
1

1
⇔ 2 +
 − − 2 = 0. We
points of intersection of the parabola and the normal line. 2 − 2 = − +
2 2
2
2


1
+  = 0, and hence,
know that  is a root of this quadratic equation, so  −  is a factor, and we ha
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